Paper Citation Record · LEDGER

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:1906.08716.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1906.08716 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T19:36:42.560507Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:18:29.282142Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-11T23:07:00.904347Z

Reference resolution

27 of 27 outbound references displayed

verified exact3
verified fuzzy15
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5bce00b9-d07d-48db-bdbc-5797272b94ba · outbound

This paper cites Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Murray, Benoit Steiner, Paul Tucker, Vijay Vasudevan, Pete Warden, Martin Wicke, Yuan Yu, and Xiaoqiang Zheng

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.569271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6931eb75-2fec-4ad9-bd90-1a1f4a4bf6d0 · outbound

This paper cites Survey of computer vision algorithms and applications for unmanned aerial vehicles.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Survey of computer vision algorithms and applications for unmanned aerial vehicles

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.577621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b9cef2ba-0c14-4dec-ba5e-25887c2bed1b · outbound

This paper cites A convolutional neural network approach for assisting avalanche search and rescue operations with uav imagery.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles A convolutional neural network approach for assisting avalanche search and rescue operations with uav imagery

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.630386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d8642040-1e27-41a3-b1a2-32cfc15bb784 · outbound

This paper cites Cheng, C.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Cheng, C

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.592325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 29d2591a-163a-4122-ae5f-12d548769248 · outbound

This paper cites an unresolved cited work.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-05-25T19:37:07.573099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 17281fb7-dbd3-4d3a-a8a9-5ef8e34fc339 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Deep Residual Learning for Image Recognition

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:37:07.317832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7b9d299c-fa16-4fde-b2c5-ec7ddba26339 · outbound

This paper cites Visual analytics in deep learning: An interrogative survey for the next frontiers.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Visual analytics in deep learning: An interrogative survey for the next frontiers

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.634748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 611defb2-7842-43b1-b1d6-7371df70a5fc · outbound

This paper cites A review on evaluation metrics for data classiﬁcation evaluations.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles A review on evaluation metrics for data classiﬁcation evaluations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.599118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ffbfa876-98d4-4798-89ba-519b953a9f10 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T19:37:07.345185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 824a341b-034d-4cb9-bda8-cf9807e915bc · outbound

This paper cites Prenafeta-BoldÃo.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Prenafeta-BoldÃo

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.581622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4369716d-ca92-4953-89fc-4d62000bcec9 · outbound

This paper cites an unresolved cited work.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-05-25T19:37:07.585140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d2cbe7aa-eba5-4d6f-9a9c-ddb5e332378e · outbound

This paper cites Kyrkou, S.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Kyrkou, S

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.588811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation db2d2cc1-520e-458b-8802-04ff19316c6d · outbound

This paper cites Network In Network.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Network In Network

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:37:07.310056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 433376fc-4f46-420e-b787-3b8e6e27d4d8 · outbound

This paper cites Maggiori, Y.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Maggiori, Y

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.595178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94635af6-1324-4e03-8ecd-66c93fb82d2f · outbound

This paper cites Applications of Online Deep Learning for Crisis Response Using Social Media Information.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Applications of Online Deep Learning for Crisis Response Using Social Media Information

Reference 15

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T19:37:07.351313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33dd3b2a-3971-429b-9d01-cd1ed9d28125 · outbound

This paper cites Disaster prevention and emergency response using unmanned aerial systems.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Disaster prevention and emergency response using unmanned aerial systems

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.639044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 32e57b67-6f0a-4160-9b9a-5fc5ebaf3d8a · outbound

This paper cites Petrides, C.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Petrides, C

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.646821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 84ca4681-254c-4e92-aca9-34b130845918 · outbound

This paper cites Cnn features off-the-shelf: An astounding baseline for recognition.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Cnn features off-the-shelf: An astounding baseline for recognition

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.610289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 764f3936-7d88-4db9-b695-4308b1ba6219 · outbound

This paper cites an unresolved cited work.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-05-25T19:37:07.623931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 035b178a-9004-4aec-a2c2-623840475dc4 · outbound

This paper cites An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the iot era.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles An overview of next-generation architectures for machine learning: Roadmap, opportunities and challenges in the iot era

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.614437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6eb71dd8-aa98-401c-808b-62710e844fee · outbound

This paper cites Deep convolutional neural networks for ﬁre detection in images.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Deep convolutional neural networks for ﬁre detection in images

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.643685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 8a1100cf-ffe3-4290-a8f4-89bd2036ce96 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-25T19:37:07.324955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b9380046-d353-426d-94ac-0a9f9146becd · outbound

This paper cites Hardware for Machine Learning: Challenges and Opportunities.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Hardware for Machine Learning: Challenges and Opportunities

Reference 23

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T19:37:07.338906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0f7967c9-c348-4c40-9d51-d0087e12fc6f · outbound

This paper cites Going Deeper with Convolutions.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Going Deeper with Convolutions

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T19:37:07.330508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 7a97a827-3f19-41b7-9f38-dc4d58cde269 · outbound

This paper cites an unresolved cited work.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-05-25T19:37:07.603111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 469ae58c-0dd5-4841-96be-3c5c5324d615 · outbound

This paper cites an unresolved cited work.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-05-25T19:37:07.606698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a971df2b-6f8e-4088-ba5d-8b5dad6db16a · outbound

This paper cites Saliency detection and deep learning-based wildﬁre identiﬁcation in uav imagery.

Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles Saliency detection and deep learning-based wildﬁre identiﬁcation in uav imagery

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T19:37:07.620024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Pith citing papers

Observation 0e133ec9-d14b-4999-9d24-dcc5b557126c · inbound

FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management cites this paper.

FLAME 3 Dataset: Unleashing the Power of Radiometric Thermal UAV Imagery for Wildfire Management Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T23:07:00.907602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1623848d-b00b-4f46-8a2a-7e0bf943a901 · inbound

Seeing Heat with Color -- RGB-Only Wildfire Temperature Inference from SAM-Guided Multimodal Distillation using Radiometric Ground Truth cites this paper.

Seeing Heat with Color -- RGB-Only Wildfire Temperature Inference from SAM-Guided Multimodal Distillation using Radiometric Ground Truth Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T04:18:29.282142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.