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Automated Cloud Removal and Filling in Optical Remote Sensing Images
2016 International Conference on Virtual Reality and Visualization (ICVRV), 2016This paper proposes a novel method for automatically removing and filling cloud regions in optical remote sensing images. Based on frequency-tuned saliency, an improved saliency algorithm is proposed to identify cloud regions. A cloud map in a binary image is used to remove the identified cloud regions.
Shuaihe Zhao, Shuling Dai
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Multi-information supervision in optical remote sensing images
National Remote Sensing Bulletin, 2023Jiabao WANG +4 more
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Optical Remote Sensing Image Deblurring Based on Deep Unfolding
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022Mengyang Shi +4 more
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IEEE Transactions on Geoscience and Remote Sensing, 2016
Gong Cheng, Peicheng Zhou, Junwei Han
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Gong Cheng, Peicheng Zhou, Junwei Han
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Efficient coding and reconstruction for optical remote sensing images
Optics and Precision Engineering, 2021Lei XIN +4 more
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Super-Resolution for Cross-Sensor Optical Remote Sensing Images
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, 2022Shravan Ambudkar +3 more
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[Effects of aerosol optical thickness on the optical remote sensing imaging quality].
Guang pu xue yu guang pu fen xi = Guang pu, 2015In recent years, due to changes in atmospheric environment, atmospheric aerosol affection on optical sensor imaging quality is increasingly considered by the load developed departments. Space-based remote sensing system imaging process, atmospheric aerosol makes optical sensor imaging quality deterioration.
Xin-Li, Hu +5 more
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CONTEXTUAL CLASSIFICATION OF MULTISENSOR OPTICAL-SAR REMOTE SENSING IMAGES
2009MOSER G. +4 more
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Image Restoration of Cassegrain Optical Remote Sensing System
Acta Optica Sinica, 2011谢丁杰 Xie Dingjie +4 more
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Survey of intelligent optical remote sensing image processing
National Remote Sensing Bulletin, 2016Jianya GONG, Yanfei ZHONG
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