A multi-temporal hyperspectral camouflage detection and transparency experiment
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SPIE
Reference8 articles.
1. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
2. Assessment of target detection limits in hyperspectral data
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1. Comparing Machine Learning and Classical Approaches for Detection of Camouflage Targets in Hyperspectral Data;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
2. 3D-Hybrid Convolutional Autoencoder Model for Hyperspectral Satellite Data Compression;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07
3. Hyperthun’22: A Multi-Sensor Multi-Temporal Camouflage Detection Campaign;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
4. Experimental Approach to Camouflaged Target Detection and Camouflage Evaluation;IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium;2023-07-16
5. Adaptive Two-Stage Multisensor Convolutional Autoencoder Model for Lossy Compression of Hyperspectral Data;IEEE Transactions on Geoscience and Remote Sensing;2023
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