Paper Citation Record · LEDGER

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging

As of 8 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.08052.

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pith.paper-citation-record.v1
2507.08052 v1

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measured 36 of 36 reference resolution

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External citation measurements

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Outbound references

Observation c6cb6a06-b9c3-4ffb-a281-52fa038cf682 · outbound

This paper cites Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Artificial Intelligence to Advance Earth Observation: A review of models, recent trends, and pathways forward

Reference 1

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Observation e76cedd3-bfba-4c84-b9ac-7d3769e31cb0 · outbound

This paper cites An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging An Introduction to Machine and Deep Learning Methods for Cloud Masking Applications

Reference 2

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Observation 8017aaf2-d3e7-4ff8-88a2-ef454d1ad1d1 · outbound

This paper cites Sen2Cor for Sentinel-2.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Sen2Cor for Sentinel-2

Reference 3

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This paper cites Fmask 4.0: Im- proved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Fmask 4.0: Im- proved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery

Reference 4

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Observation 21f0ed7e-89b3-4b44-a59f-add88a3317c1 · outbound

This paper cites Improving Cloud Detection with Machine Learning.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Improving Cloud Detection with Machine Learning

Reference 5

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Observation d113477d-1dfe-4bcd-8d22-bf60324b76a9 · outbound

This paper cites CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging CloudS2Mask: A novel deep learning approach for improved cloud and cloud shadow masking in Sentinel-2 imagery

Reference 6

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Observation 5b23da02-8126-4cc5-a2ca-f9b11727e366 · outbound

This paper cites Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Semantic Segmentation in Satellite Hyperspectral Imagery by Deep Learning

Reference 7

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Observation 56a173bf-eca7-493f-b33c-5a472aa95fe0 · outbound

This paper cites Advances in Hyperspectral Im- age and Signal Processing: A Comprehensive Overview of the State of the Art.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Advances in Hyperspectral Im- age and Signal Processing: A Comprehensive Overview of the State of the Art

Reference 8

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Observation 2ade3fdf-d2a0-4b39-ba81-18de2d133b9f · outbound

This paper cites Cloud/shadow detection based on spectral indices for multi/hyperspectral optical remote sensing imagery.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Cloud/shadow detection based on spectral indices for multi/hyperspectral optical remote sensing imagery

Reference 9

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Observation 72e3f6b6-e42c-4865-ba6e-a681c21cf4fe · outbound

This paper cites Comprehensive analysis of Cubesat electrical power systems for efficient energy management.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Comprehensive analysis of Cubesat electrical power systems for efficient energy management

Reference 10

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Observation 25dfa9fb-6113-4d39-b887-4fc12a66ccf3 · outbound

This paper cites Reducing En- ergy Consumption in CubeSat Missions: The Integrated Antenna Approach.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Reducing En- ergy Consumption in CubeSat Missions: The Integrated Antenna Approach

Reference 11

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Observation e9065173-d972-4c49-a160-7995ae346d0f · outbound

This paper cites Energy budgeting for CubeSats with an inte- grated FPGA.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Energy budgeting for CubeSats with an inte- grated FPGA

Reference 12

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This paper cites Optimizing the CubeSat On-Board Computer Power Consumption Un- der Hard Real-Time Constraints.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Optimizing the CubeSat On-Board Computer Power Consumption Un- der Hard Real-Time Constraints

Reference 13

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Observation 3988a208-627f-4c5c-b3b8-d66828c37da9 · outbound

This paper cites The Phi-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging The Phi-Sat-1 Mission: The First On-Board Deep Neural Network Demonstrator for Satellite Earth Observation

Reference 14

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Observation 7e99f3bb-40cb-42f7-a22c-0883c9ad9971 · outbound

This paper cites Phi-Sat-2: Onboard AI Apps for Earth Observation.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Phi-Sat-2: Onboard AI Apps for Earth Observation

Reference 15

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Observation 9e943440-4d19-4785-b34b-51e70d613bb0 · outbound

This paper cites Simulation of Multispectral and Hyperspectral EO Products for Onboard Machine Learning Application.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Simulation of Multispectral and Hyperspectral EO Products for Onboard Machine Learning Application

Reference 16

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Observation f72ed714-c5c8-4234-a2c3-d783e5d98c31 · outbound

This paper cites Artificial Intelligence Based On-Board Image Compression for the Phi-Sat-2 Mission.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Artificial Intelligence Based On-Board Image Compression for the Phi-Sat-2 Mission

Reference 17

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Observation 988610d1-316c-4840-a2d4-b82901f21efa · outbound

This paper cites CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspec- tral Images.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspec- tral Images

Reference 18

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Observation c92ea91f-1b1b-4e8f-93e2-0ba90d17b3bd · outbound

This paper cites An FPGA-Based Hardware Accelerator for CNNs Inference on Board Satellites: Benchmarking with Myriad 2-Based Solution for the CloudScout Case Study.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging An FPGA-Based Hardware Accelerator for CNNs Inference on Board Satellites: Benchmarking with Myriad 2-Based Solution for the CloudScout Case Study

Reference 19

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Observation 5ed8d1ab-5048-44e9-86f9-c149fd366104 · outbound

This paper cites An Improved Fmask Method for Cloud Detection in GF-6 WFV Based on Spectral- Contextual Information.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging An Improved Fmask Method for Cloud Detection in GF-6 WFV Based on Spectral- Contextual Information

Reference 20

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Observation b9f53690-4de3-4a4c-bfe0-26984376e79b · outbound

This paper cites An Effective Cloud Detection Method for Gaofen-5 Images via Deep Learning.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging An Effective Cloud Detection Method for Gaofen-5 Images via Deep Learning

Reference 21

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Observation 597768b2-f9ab-4179-b657-311bd6eca1c2 · outbound

This paper cites Cloud Detection in Hyperspectral Images with Atmospheric Column Water Vapor: Appli- cation to PRISMA and A VIRIS-NG Images.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Cloud Detection in Hyperspectral Images with Atmospheric Column Water Vapor: Appli- cation to PRISMA and A VIRIS-NG Images

Reference 22

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Observation b76cdb4e-4211-46cc-b625-804732a8a68b · outbound

This paper cites Transfer-learning-based cloud detec- tion for Zhuhai-1 satellite hyperspectral imagery.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Transfer-learning-based cloud detec- tion for Zhuhai-1 satellite hyperspectral imagery

Reference 23

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Observation c5dce896-f2fe-4804-b417-80dff135e211 · outbound

This paper cites Hyperspectral Image Seg- mentation for Optimal Satellite Operations: In-Orbit Deployment of 1D-CNN.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Hyperspectral Image Seg- mentation for Optimal Satellite Operations: In-Orbit Deployment of 1D-CNN

Reference 24

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Observation d1c29115-e127-4227-b958-0b8fd53e5083 · outbound

This paper cites XGBoost: A Scal- able Tree Boosting System.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging XGBoost: A Scal- able Tree Boosting System

Reference 25

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Observation 1ca7ead3-8ccf-4b9f-bfe2-307eed12f610 · outbound

This paper cites Ac- cessed: 2025-04-01.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Ac- cessed: 2025-04-01

Reference 26

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Observation 577444c6-c5fc-4a96-a3a0-8b9e20c53e0f · outbound

This paper cites Accessed: 2025-04-01.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Accessed: 2025-04-01

Reference 27

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Observation 162c8add-654e-4681-b80b-fe75caa11e94 · outbound

This paper cites Accessed: 2025-04-01.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Accessed: 2025-04-01

Reference 28

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Observation 78fd3201-653a-47ad-a1ed-f4cd4646425d · outbound

This paper cites An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the Hypso- 1 Satellite.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging An Open Hyperspectral Dataset with Sea-Land-Cloud Ground-Truth from the Hypso- 1 Satellite

Reference 29

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Observation ed574c66-19b8-445f-8590-2e9bf3f1c3c9 · outbound

This paper cites The SVD of Convolutional Weights: A CNN Interpretability Framework.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging The SVD of Convolutional Weights: A CNN Interpretability Framework

Reference 30

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Observation 36dadebc-f801-4910-aaf4-45d6ed0e2964 · outbound

This paper cites Optuna: A Next-generation Hyper- parameter Optimization Framework.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Optuna: A Next-generation Hyper- parameter Optimization Framework

Reference 31

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Observation 650c9129-38eb-44f5-892d-f6ec95708e4d · outbound

This paper cites HYPSO-1 CubeSat: First Images and In-Orbit Characterization.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging HYPSO-1 CubeSat: First Images and In-Orbit Characterization

Reference 32

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Observation f80ed674-34ac-42a5-9ced-36f790052dbd · outbound

This paper cites Design of a hyperspectral im- ager using COTS optics for small satellite applications.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging Design of a hyperspectral im- ager using COTS optics for small satellite applications

Reference 33

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Observation db37175f-0b60-4965-8d06-71aea1e9b9ea · outbound

This paper cites A practical introduction to tensor net- works: Matrix product states and projected entangled pair states.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging A practical introduction to tensor net- works: Matrix product states and projected entangled pair states

Reference 34

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This paper cites DOI: https://doi.org/10.1016/j.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging DOI: https://doi.org/10.1016/j

Reference 158

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This paper cites URL: https: //doi.org/10.1007/s43937-025-00069-5.

Lightweight Cloud Masking Models for On-Board Inference in Hyperspectral Imaging URL: https: //doi.org/10.1007/s43937-025-00069-5

Reference 7719

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