Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation | Paper Citation Record

Observation e804ae11-37e6-4b7c-a24a-108514111cc8 · outbound

This paper cites Climate change impact on future wildfire danger and activity in southern europe: a review,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Climate change impact on future wildfire danger and activity in southern europe: a review,

Reference 1

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Observation dd6b43a7-c656-4cc5-8abc-1d896f22883c · outbound

This paper cites Increased likelihood of heat-induced large wildfires in the Mediterranean Basin,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Increased likelihood of heat-induced large wildfires in the Mediterranean Basin,

Reference 2

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Observation 8fbd06cc-3afa-4b4f-b674-2eefcdd89c3d · outbound

This paper cites Changing wildfire, changing forests: the effects of climate change on fire regimes and vegetation in the Pacific Northwest, USA,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Changing wildfire, changing forests: the effects of climate change on fire regimes and vegetation in the Pacific Northwest, USA,

Reference 3

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This paper cites Image texture analysis enhances classification of fire extent and severity using sentinel 1 and 2 satellite imagery,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Image texture analysis enhances classification of fire extent and severity using sentinel 1 and 2 satellite imagery,

Reference 4

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This paper cites Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Double-Step U-Net: A Deep Learning-Based Approach for the Estimation of Wildfire Damage Severity through Sentinel-2 Satellite Data,

Reference 5

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Observation 6475b571-4302-4d4f-86da-a5887d129ec1 · outbound

This paper cites Wild- fire detection from multisensor satellite imagery using deep semantic segmentation,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Wild- fire detection from multisensor satellite imagery using deep semantic segmentation,

Reference 6

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This paper cites Wildfire segmentation using deep vision transformers,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Wildfire segmentation using deep vision transformers,

Reference 7

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Observation eccd916d-7d0a-4081-99d5-5964e8bf7243 · outbound

This paper cites A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation A Deep Learning Approach for Burned Area Segmentation with Sentinel-2 Data,

Reference 8

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Observation a6c75e2a-0e54-4114-a652-8945b7dc758c · outbound

This paper cites Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolu- tional Neural Networks,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Supervised Burned Areas delineation by means of Sentinel-2 imagery and Convolu- tional Neural Networks,

Reference 9

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Observation cb59a26e-868a-4df1-aff6-a2a4e2eb2b07 · outbound

This paper cites Sentinel-1 flood delineation with supervised machine learning,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Sentinel-1 flood delineation with supervised machine learning,

Reference 10

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Observation 6169c098-1264-42c3-8bc9-35dcdf440667 · outbound

This paper cites A Comparative Analysis for Air Quality Estimation from Traffic and Meteorological Data,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation A Comparative Analysis for Air Quality Estimation from Traffic and Meteorological Data,

Reference 11

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Observation 2b208f4d-060a-46d0-8076-ee3f3a6cb2c3 · outbound

This paper cites Fast and accurate land-cover classification on medium-resolution remote-sensing images using segmentation models,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Fast and accurate land-cover classification on medium-resolution remote-sensing images using segmentation models,

Reference 12

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This paper cites Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery,

Reference 13

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This paper cites Cnn, rnn, or vit? an evaluation of different deep learning architectures for spatio-temporal representation of sentinel time series,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Cnn, rnn, or vit? an evaluation of different deep learning architectures for spatio-temporal representation of sentinel time series,

Reference 14

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This paper cites Scene classification in remote sensing images using dynamic kernels,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Scene classification in remote sensing images using dynamic kernels,

Reference 15

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This paper cites Learning scene-vectors for remote sensing image scene classification,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Learning scene-vectors for remote sensing image scene classification,

Reference 16

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This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation U-Net: Convolutional Networks for Biomedical Image Segmentation,

Reference 17

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Observation daee4c51-e42a-4226-a812-b9ab45cadc10 · outbound

This paper cites Encoder- Decoder with Atrous Separable Convolution for Semantic Image Seg- mentation,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Encoder- Decoder with Atrous Separable Convolution for Semantic Image Seg- mentation,

Reference 18

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This paper cites SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers,

Reference 19

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This paper cites Searching for MobileNetV3,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Searching for MobileNetV3,

Reference 20

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This paper cites Deep learning,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Deep learning,

Reference 21

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This paper cites Gradient-based learning applied to document recognition,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Gradient-based learning applied to document recognition,

Reference 22

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This paper cites Long short-term memory,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Long short-term memory,

Reference 23

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This paper cites Bidirectional recurrent neural net- works,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Bidirectional recurrent neural net- works,

Reference 24

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This paper cites Attention is All You Need,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Attention is All You Need,

Reference 25

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 26

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding,

Reference 27

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This paper cites Human-level control through deep reinforcement learning,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Human-level control through deep reinforcement learning,

Reference 28

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This paper cites A threshold selection method from gray-level histograms,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation A threshold selection method from gray-level histograms,

Reference 29

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This paper cites Normalized cuts and image segmentation,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Normalized cuts and image segmentation,

Reference 30

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This paper cites Mean shift: a robust approach toward feature space analysis,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Mean shift: a robust approach toward feature space analysis,

Reference 31

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This paper cites Time-of-flight cameras in space: Pose estimation with deep learning methodologies,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Time-of-flight cameras in space: Pose estimation with deep learning methodologies,

Reference 32

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Observation 5dab9287-03e9-4b0a-b3c9-cb01139ae8a6 · outbound

This paper cites DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs,

Reference 33

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Observation 1f041142-4301-4e90-aa7b-4730329c70fc · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 34

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This paper cites A dataset for burned area delineation and severity estimation from satellite imagery,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation A dataset for burned area delineation and severity estimation from satellite imagery,

Reference 35

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This paper cites Swin Transformer: Hierarchical Vision Transformer using Shifted Win- dows,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Swin Transformer: Hierarchical Vision Transformer using Shifted Win- dows,

Reference 36

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This paper cites Deep Residual Learning for Image Recognition,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Deep Residual Learning for Image Recognition,

Reference 37

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Observation 6a75b50f-482a-45b4-9c30-d53afb3166fd · outbound

This paper cites Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Fully convolutional networks for multisource building extraction from an open aerial and satellite imagery data set,

Reference 38

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This paper cites reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation reBEN: Refined BigEarthNet Dataset for Remote Sensing Image Analysis

Reference 39

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This paper cites Scene classifica- tion of high-resolution remotely sensed image based on resnet,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Scene classifica- tion of high-resolution remotely sensed image based on resnet,

Reference 40

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This paper cites Winter wheat mapping method based on pseudo-labels and u-net model for training sample shortage,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Winter wheat mapping method based on pseudo-labels and u-net model for training sample shortage,

Reference 41

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Observation 6d5812e8-3272-4c72-bbf1-8ff63d8d341b · outbound

This paper cites Improving crop classification accuracy with integrated sentinel-1 and sentinel-2 data: a case study of barley and wheat,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Improving crop classification accuracy with integrated sentinel-1 and sentinel-2 data: a case study of barley and wheat,

Reference 42

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This paper cites KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation KAN You See It? KANs and Sentinel for Effective and Explainable Crop Field Segmentation

Reference 43

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This paper cites Deepglobe 2018: A challenge to parse the earth through satellite images,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Deepglobe 2018: A challenge to parse the earth through satellite images,

Reference 44

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This paper cites Ms-vacsnet: A network for multi-scale volcanic ash cloud segmentation in remote sensing images,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Ms-vacsnet: A network for multi-scale volcanic ash cloud segmentation in remote sensing images,

Reference 45

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This paper cites A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images,

Reference 46

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Observation f0ce9954-83d0-499e-8b6c-0be474c81096 · outbound

This paper cites Mutual attention inception net- work for remote sensing visual question answering,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Mutual attention inception net- work for remote sensing visual question answering,

Reference 47

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This paper cites Mmflood: A multimodal dataset for flood delineation from satellite imagery,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Mmflood: A multimodal dataset for flood delineation from satellite imagery,

Reference 48

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Observation 1491f6b8-cef1-4088-aacf-17fec1bb8eb1 · outbound

This paper cites Spectral signature analysis of false positive burned area detection from agricultural harvests using Sentinel-2 data,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Spectral signature analysis of false positive burned area detection from agricultural harvests using Sentinel-2 data,

Reference 49

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Observation ec63da82-4c10-4268-b631-a5338df4b067 · outbound

This paper cites A method for extracting burned areas from landsat tm/etm+ images by soft aggregation of multiple spectral indices and a region growing algorithm,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation A method for extracting burned areas from landsat tm/etm+ images by soft aggregation of multiple spectral indices and a region growing algorithm,

Reference 50

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Observation 19a21684-0167-42f6-a040-1e76eebd10dc · outbound

This paper cites Burnt area index (baim) for burned area discrimination at regional scale using modis data,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Burnt area index (baim) for burned area discrimination at regional scale using modis data,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.649035Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a39c842a-5955-49a5-be45-dd4bb5565d8d · outbound

This paper cites Bais2: Burned area index for sentinel-2,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Bais2: Burned area index for sentinel-2,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.635632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99812daf-4159-4999-8ad6-aec47c1fefc2 · outbound

This paper cites Remote sensing of fire severity: as- sessing the performance of the normalized burn ratio,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Remote sensing of fire severity: as- sessing the performance of the normalized burn ratio,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.621675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ee336bd0-5f8c-40f2-8b6b-5b91a95cb183 · outbound

This paper cites Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Development of a Sentinel-2 burned area algorithm: Generation of a small fire database for sub-Saharan Africa,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.607240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3691d23f-79ba-4b16-8398-47e6dfc6c099 · outbound

This paper cites Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Detecting Burn Severity across Mediterranean Forest Types by Coupling Medium-Spatial Resolution Satellite Imagery and Field Data,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.593260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37e70a99-295d-4f91-85fe-a555c1b38a64 · outbound

This paper cites Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.578981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 958b88f8-0f8a-44e9-b6e1-e384a86a7f4c · outbound

This paper cites Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.563518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f2d7659c-2ca1-41cd-ac2a-02a3e07cb213 · outbound

This paper cites Semantic segmentation of burned areas in satellite images using a U-Net-based convolutional neural network,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Semantic segmentation of burned areas in satellite images using a U-Net-based convolutional neural network,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.548798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 89b31bba-fe30-41c9-bdbf-bb719d17fecd · outbound

This paper cites Uni-Temporal Multispectral Imagery for Burned Area Mapping with Deep Learning,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Uni-Temporal Multispectral Imagery for Burned Area Mapping with Deep Learning,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.533751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e3033010-7252-4290-9419-25953d0c2bf7 · outbound

This paper cites Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Large-scale burn severity mapping in multispectral imagery using deep semantic segmentation models,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.517632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 054bcf84-96e6-4f8b-b2b4-18d2d5ce0e50 · outbound

This paper cites Attention to Fires: Multi- Channel Deep Learning Models for Wildfire Severity Prediction,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Attention to Fires: Multi- Channel Deep Learning Models for Wildfire Severity Prediction,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.502669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ac318671-9b8a-4239-a4f3-50e363b22e05 · outbound

This paper cites Burnt-net: Wildfire burned area mapping with single post-fire sentinel-2 data and deep learning morphological neural network,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Burnt-net: Wildfire burned area mapping with single post-fire sentinel-2 data and deep learning morphological neural network,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.487521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation eeb91e7b-fade-483d-8b17-ef3a7b18b2ca · outbound

This paper cites CaBuAr: California Burned Areas dataset for delineation,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation CaBuAr: California Burned Areas dataset for delineation,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.474043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af6e7df2-e8af-4263-835f-5141b84befce · outbound

This paper cites Deep learning dataset for estimating burned areas: Case study, indonesia,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Deep learning dataset for estimating burned areas: Case study, indonesia,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.460927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6845a80-67b7-4085-918e-66872afdf430 · outbound

This paper cites Sentinel-2: ESA's optical high-resolution mission for GMES operational services,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Sentinel-2: ESA's optical high-resolution mission for GMES operational services,

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:16.847272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e76714ee-6420-4869-839d-17a48b000511 · outbound

This paper cites Sentinel-2 l2a user guide,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Sentinel-2 l2a user guide,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.446083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dcccf715-3cd5-42d0-8487-2e0a8e182233 · outbound

This paper cites Landsat-8: Science and product vision for terrestrial global change research,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Landsat-8: Science and product vision for terrestrial global change research,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.432084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87755310-0696-4b38-a7f7-7ba572711cc6 · outbound

This paper cites Unified focal loss: Generalising dice and cross entropy-based losses to handle class imbalanced medical image segmentation,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Unified focal loss: Generalising dice and cross entropy-based losses to handle class imbalanced medical image segmentation,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.417326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c043eb9e-797e-45b0-855b-e5e6dfd8e7e9 · outbound

This paper cites Statistical comparisons of classifiers over multiple data sets,.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Statistical comparisons of classifiers over multiple data sets,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T05:52:17.402440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8437d9b3-1c7e-47ad-9afc-b4937b4ff614 · outbound

This paper cites Refaeilzadeh, L.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Refaeilzadeh, L

Reference 70

Resolution: malformed identifier; raw_fallback, observed 2026-08-16T05:52:17.388053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f5124ef-bfe0-47ae-8998-b121ecc47440 · outbound

This paper cites Available: https://doi.org/10.1007/978-3-319-24574-4 28.

Magnifier: A Multi-grained Neural Network-based Architecture for Burned Area Delineation Available: https://doi.org/10.1007/978-3-319-24574-4 28

Reference 241

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:16.634408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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