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Remote Sensing, Volume 17, Issue 6

March-2 2025 - 164 articles

Cover Story: Mixed pixels are common in medium- and low-resolution satellite imagery, and the widely used linear mixing model helps approximately decompose them into individual land cover components after atmospheric correction, bridging spectral resolution gaps. This study presents a method to enhance multispectral surface reflectance by reconstructing additional spectral information using the TROPOMI BRDF product generated by the GRASP algorithm. Non-negative matrix factorization (NMF) is applied to extract spectral basis vectors from reference libraries and reconstruct key spectral features using limited bands. The method improves reflectance in challenging wavelengths, not only within 400–800 nm but also across the broader 400–2400 nm range, representing a cost-effective solution to narrow spectral gaps in multispectral data. View this paper
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Articles (164)

  • Technical Note
  • Open Access
9 Citations
3,593 Views
13 Pages

20 March 2025

The Mw 7.0 Dingri earthquake, which occurred on 7 January 2025, occurred at the southern end of the Xainza-Dinggyê Fault Zone within the South Tibet Rift (STR) system, in the Dengmecuo graben. It is the largest normal-faulting event in the regi...

  • Article
  • Open Access
2 Citations
2,527 Views
18 Pages

20 March 2025

Deep metric learning combines deep learning with metric learning to explore the deep spectral space and distinguish between the target and background. Current target detection methods typically fail to accurately distinguish local differences between...

  • Article
  • Open Access
4 Citations
3,182 Views
23 Pages

FQDNet: A Fusion-Enhanced Quad-Head Network for RGB-Infrared Object Detection

  • Fangzhou Meng,
  • Aoping Hong,
  • Hongying Tang and
  • Guanjun Tong

20 March 2025

RGB-IR object detection provides a promising solution for complex scenarios, such as remote sensing and low-light environments, by leveraging the complementary strengths of visible and infrared modalities. Despite significant advancements, two key ch...

  • Article
  • Open Access
3 Citations
1,757 Views
23 Pages

Modifying NISAR’s Cropland Area Algorithm to Map Cropland Extent Globally

  • Kaylee G. Sharp,
  • Jordan R. Bell,
  • Hannah G. Pankratz,
  • Lori A. Schultz,
  • Ronan Lucey,
  • Franz J. Meyer and
  • Andrew L. Molthan

20 March 2025

Synthetic aperture radar (SAR) is emerging as a valuable dataset for monitoring crops globally. Unlike optical remote sensing, SAR can provide earth observations regardless of solar illumination or atmospheric conditions. Several methods that utilize...

  • Article
  • Open Access
606 Views
13 Pages

Extraction Method for Factory Aquaculture Based on Multiscale Residual Attention Network

  • Haiwei Zhang,
  • Jialan Chu,
  • Guize Liu,
  • Yanlong Chen and
  • Kaifei He

20 March 2025

The rapid development of factory aquaculture not only brings economic benefits to coastal areas but also poses numerous ecological and environmental challenges. Therefore, understanding the distribution of coastal factory aquaculture is of great sign...

  • Article
  • Open Access
11 Citations
2,106 Views
24 Pages

Digital Elevation Model-Driven River Channel Boundary Monitoring Using the Natural Breaks (Jenks) Method

  • Rongjie Gui,
  • Wenlong Song,
  • Juan Lv,
  • Yizhu Lu,
  • Hongjie Liu,
  • Tianshi Feng and
  • Shaobo Linghu

20 March 2025

River channels are fundamental geomorphological and hydrological features that play a critical role in regulating the Earth’s water cycle and ecosystems and influencing human activities. This study utilized Digital Elevation Model (DEM) data an...

  • Article
  • Open Access
1 Citations
1,225 Views
18 Pages

20 March 2025

This paper proposes a pose estimation algorithm using INS and LiDAR for precise cooperative relative navigation between target and chaser spacecraft in a close docking mission scenario. Previous cooperative algorithms have proposed estimating positio...

  • Article
  • Open Access
2 Citations
2,955 Views
23 Pages

20 March 2025

Observing coal mining and reclamation activities using remote sensing avoids the need for physical site visits, which is important for environmental and land management. This study utilizes deep learning techniques with a U-Net and ResNet architectur...

  • Article
  • Open Access
14 Citations
3,701 Views
34 Pages

Projecting Future Wetland Dynamics Under Climate Change and Land Use Pressure: A Machine Learning Approach Using Remote Sensing and Markov Chain Modeling

  • Penghao Ji,
  • Rong Su,
  • Guodong Wu,
  • Lei Xue,
  • Zhijie Zhang,
  • Haitao Fang,
  • Runhong Gao,
  • Wanchang Zhang and
  • Donghui Zhang

20 March 2025

Wetlands in the Yellow River Watershed of Inner Mongolia face significant reductions under future climate and land use scenarios, threatening vital ecosystem services and water security. This study employs high-resolution projections from NASA’...

  • Article
  • Open Access
1 Citations
1,526 Views
19 Pages

20 March 2025

Accurate soil pH prediction is critical for soil management and ecological environmental protection. Machine learning (ML) models have been widely applied in the field of soil pH prediction. However, when using these models, the spatial heterogeneity...

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Remote Sens. - ISSN 2072-4292