Remote Sensing Letters, Volume 15, Issue 6 (2024)

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Remote Sensing Letters, Volume 15, Issue 6 (2024)

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Research Letter

Research Letter
Initial evaluation of humidity profiles retrieved by the EOS-07 millimetre-wave humidity sounder
Kandula V. Subrahmanyam, Karanam Kishore Kumar, Manoj Kumar Mishra, Pradeep Kumar Thapliyal, Rabindrakumar Nayak, M. V. Ramana & Prakash Chauhan
Pages: 571-579
Published online: 21 May 2024
AbstractforInitial evaluation of humidity profiles retrieved by the EOS-07 millimetre-wave humidity sounder | Full Text | References | PDF (4 MB) | EPUB
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Research Letter
Multi-task contrastive learning for change detection in remote sensing images
Yingying Liu & Gang Zhou
Pages: 580-590
Published online: 15 May 2024
AbstractforMulti-task contrastive learning for change detection in remote sensing images | Full Text | References | PDF (3 MB) | EPUB
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Research Letter
Effect of drone flight speed on intensity images in drone-based synthetic aperture radar analysis of mine slopes
Yutaro Shigemitsu, Kazuya Ishitsuka, Weiren Lin, Tomoyuki Sugiyama, Munemaru Kishimoto & Takeharu Takahashi
Pages: 591-602
Published online: 17 May 2024
AbstractforEffect of drone flight speed on intensity images in drone-based synthetic aperture radar analysis of mine slopes | Full Text | References | PDF (6.8 MB) | EPUB | Supplemental
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Research Letter
Assessment of post-pandemic economic recovery in Beijing, China, using night-time light data
Feng Li, Shunbao Liao & Wenlong Liu
Pages: 603-613
Published online: 31 May 2024
AbstractforAssessment of post-pandemic economic recovery in Beijing, China, using night-time light data | Full Text | References | PDF (4.6 MB) | EPUB
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Research Letter
A noise-robust water segmentation method based on synthetic aperture radar images combined with automatic sample collection
Zhuoyan Hou, Mengmeng Meng, Guichao Zhou, Xuedong Zhang, Mingjun Cao, Junhao Qian, Ning Li, Yabo Huang, Lin Wu & Linglin Xie
Pages: 614-623
Published online: 31 May 2024
AbstractforA noise-robust water segmentation method based on synthetic aperture radar images combined with automatic sample collection | Full Text | References | PDF (6.1 MB) | EPUB
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A noise-robust water segmentation method based on synthetic aperture radar images combined with automatic sample collection
Zhuoyan Hou et al.
Research Letter | Published online: 31 May 2024
Assessment of post-pandemic economic recovery in Beijing, China, using night-time light data
Feng Li et al.
Research Letter | Published online: 31 May 2024
Initial evaluation of humidity profiles retrieved by the EOS-07 millimetre-wave humidity sounder
Kandula V. Subrahmanyam et al.
Research Letter | Published online: 21 May 2024
Effect of drone flight speed on intensity images in drone-based synthetic aperture radar analysis of mine slopes
Yutaro Shigemitsu et al.
Research Letter | Published online: 17 May 2024
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