A survey of machine learning and deep learning in remote sensing of geological environment: Challenges, advances, and opportunities
Due to limited resources and environmental pollution, monitoring the geological
environment has become essential for many countries' sustainable development. As various …
environment has become essential for many countries' sustainable development. As various …
PCA-based feature reduction for hyperspectral remote sensing image classification
The hyperspectral remote sensing images (HSIs) are acquired to encompass the essential
information of land objects through contiguous narrow spectral wavelength bands. The …
information of land objects through contiguous narrow spectral wavelength bands. The …
Change detection in hyperspectral images using recurrent 3D fully convolutional networks
Hyperspectral change detection (CD) can be effectively performed using deep-learning
networks. Although these approaches require qualified training samples, it is difficult to …
networks. Although these approaches require qualified training samples, it is difficult to …
Remotely sensed high resolution irrigated area mapping in India for 2000 to 2015
India is among the countries that uses a significant fraction of available water for irrigation.
Irrigated area in India has increased substantially after the Green revolution and both …
Irrigated area in India has increased substantially after the Green revolution and both …
Mapping hydrothermal alteration zones and lineaments associated with orogenic gold mineralization using ASTER data: A case study from the Sanandaj-Sirjan Zone …
Abstract The Sanandaj-Sirjan Zone (SSZ) is considered as an important region for gold
exploration in the western sector of Iran. Its mountainous topography and unpaved routes …
exploration in the western sector of Iran. Its mountainous topography and unpaved routes …
[图书][B] Hyperspectral remote sensing: fundamentals and practices
R Pu - 2017 - taylorfrancis.com
Advanced imaging spectral technology and hyperspectral analysis techniques for multiple
applications are the key features of the book. This book will present in one volume complete …
applications are the key features of the book. This book will present in one volume complete …
[PDF][PDF] The performance of maximum likelihood, spectral angle mapper, neural network and decision tree classifiers in hyperspectral image analysis
S Kuching - Journal of Computer Science, 2007 - ugpti.org
Several classification algorithms for pattern recognition had been tested in the mapping of
tropical forest cover using airborne hyperspectral data. Results from the use of Maximum …
tropical forest cover using airborne hyperspectral data. Results from the use of Maximum …
Mapping of mineral resources and lithological units: A review of remote sensing techniques
R Rajan Girija, S Mayappan - … Journal of Image and Data Fusion, 2019 - Taylor & Francis
The remote sensing (RS) techniques have become a guiding and promising tool for mineral
exploration and mapping of lithological units. The RS for mineral exploration begins with …
exploration and mapping of lithological units. The RS for mineral exploration begins with …
[PDF][PDF] 高光谱矿物填图技术与应用研究
王润生， 甘甫平， 闫柏琨， 杨苏明， 王青华 - 国土资源遥感, 2010 - cgsjournals.com
回顾和总结了“九五” 以来, 中国国土资源航空物探遥感中心在高光谱矿物识别和矿物填图领域所
取得的成果, 包括主要岩矿光谱特征与影响因素分析; 矿物的种类识别, 丰度反演和成分识别; …
取得的成果, 包括主要岩矿光谱特征与影响因素分析; 矿物的种类识别, 丰度反演和成分识别; …
Hyperspectral Image Restoration via Global L1-2 Spatial–Spectral Total Variation Regularized Local Low-Rank Tensor Recovery
Hyperspectral images (HSIs) are usually corrupted by various noises, eg, Gaussian noise,
impulse noise, stripes, dead lines, and many others. In this article, motivated by the good …
impulse noise, stripes, dead lines, and many others. In this article, motivated by the good …