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A review on hyperspectral imagery application for lithological map** and mineral prospecting: Machine learning techniques and future prospects
Hyperspectral remotely sensed imagery is a pertinent instrument in lithological and mineral
alterations map** for a vast range of ore mineralization. This imagery typically provides an …
alterations map** for a vast range of ore mineralization. This imagery typically provides an …
A review of spatial enhancement of hyperspectral remote sensing imaging techniques
Remote sensing technology has undeniable importance in various industrial applications,
such as mineral exploration, plant detection, defect detection in aerospace and shipbuilding …
such as mineral exploration, plant detection, defect detection in aerospace and shipbuilding …
Recent advances in stability and failure mechanisms of landslide dams
Numerous landslide dams have been induced in recent years as a result of frequent
earthquakes and extreme climate hazards. Landslide dams present serious threats to lives …
earthquakes and extreme climate hazards. Landslide dams present serious threats to lives …
[HTML][HTML] Synergy between artificial intelligence and hyperspectral imagining—A review
The synergy between artificial intelligence (AI) and hyperspectral imaging (HSI) holds
tremendous potential across a wide array of fields. By leveraging AI, the processing and …
tremendous potential across a wide array of fields. By leveraging AI, the processing and …
高光谱成像遥感载荷技术的现状与发展
刘银年 - 遥感学报, 2021 - ygxb.ac.cn
高光谱成像技术可同时获取地物的几何, 辐射和光谱信息, 集相机, 辐射计和光谱仪能力于一体,
相比光学空间二维成像, 可对地物进行空间和光谱三维成像, 在一定的空间分辨率下 …
相比光学空间二维成像, 可对地物进行空间和光谱三维成像, 在一定的空间分辨率下 …
A review of geological applications of high-spatial-resolution remote sensing data
Geologists employ high-spatial-resolution (HR) remote sensing (RS) data for many diverse
applications as they effectively reflect detailed geological information, enabling high-quality …
applications as they effectively reflect detailed geological information, enabling high-quality …
A cross-scene self-representative network for hyperspectral band selection
This article proposes a novel deep learning-based framework for hyperspectral band
selection, named Cross-Scene Self-Representative Network (CSSRnet). The proposed …
selection, named Cross-Scene Self-Representative Network (CSSRnet). The proposed …
Coastline target detection based on UAV hyperspectral remote sensing images
S Zhao, Y Lv, X Zhao, J Wang, W Li… - Frontiers in Marine Science, 2024 - frontiersin.org
Timely and accurate monitoring of typical coastal targets using remote sensing technology is
crucial for maintaining marine ecological stability. Hyperspectral target detection technology …
crucial for maintaining marine ecological stability. Hyperspectral target detection technology …
Novel hybrid low-rank tensor approximation for hyperspectral image mixed denoising based on global-guided-nonlocal prior mechanism
M ** possible mineral alterations, which aid in mineral exploration over larger areas …