Landslide detection of hyperspectral remote sensing data based on deep learning with constrains

C Ye, Y Li, P Cui, L Liang, S Pirasteh… - IEEE Journal of …, 2019 - ieeexplore.ieee.org
Detecting and monitoring landslides are hot topics in remote sensing community, particularly
with the development of remote sensing technologies and the significant progress of …

[HTML][HTML] Mapping hydrothermal alteration of the Pulang porphyry copper deposit, SW China, using ASTER and ZY1-02D satellite data

X Zhang, Z Zhao, Q Chen, W Chai, Z Li, G Zhang… - Ore Geology …, 2023 - Elsevier
Alteration minerals are important prospecting indicators, and multispectral and hyperspectral
remote sensing technologies are important prospecting tools. Multispectral remote sensing …

A review on hyperspectral imagery application for lithological mapping and mineral prospecting: Machine learning techniques and future prospects

S Hajaj, A El Harti, AB Pour, A Jellouli, Z Adiri… - Remote Sensing …, 2024 - Elsevier
Hyperspectral remotely sensed imagery is a pertinent instrument in lithological and mineral
alterations mapping for a vast range of ore mineralization. This imagery typically provides an …

[HTML][HTML] 基于GF− 5 卫星的西藏珠勒—芒拉地区矿物蚀变信息提取及找矿前景分析

白龙洋, 代晶晶, 王楠, 李宝龙, 刘治博, 李志军, 陈伟 - 中国地质, 2024 - cgsjournals.com
基于GF−5卫星的西藏珠勒—芒拉地区矿物蚀变信息提取及找矿前景分析 集群首页 English 中文
中国地质调查局中国地质科学院 主办 科学出版社 出版 2.{{subColumn.name}} 高级检索 集群首页 …

Application of lithological mapping based on advanced hyperspectral imager (AHSI) imagery onboard Gaofen-5 (GF-5) satellite

B Ye, S Tian, Q Cheng, Y Ge - Remote Sensing, 2020 - mdpi.com
The Advanced Hyperspectral Imager (AHSI), carried by the Gaofen-5 (GF-5) satellite, is the
first hyperspectral sensor that simultaneously offers broad coverage and a broad spectrum …

Potential of DESIS and PRISMA hyperspectral remote sensing data in rock classification and mineral identification: a case study for Banswara in Rajasthan, India

P Tripathi, RD Garg - Environmental Monitoring and Assessment, 2023 - Springer
Remote sensing datasets and methods are suitable for mapping and managing the natural
resources like minerals, clean water, and energy and also govern their sustainability …

[HTML][HTML] Integration of remote sensing, gravity and geochemical data for exploration of Cu-mineralization in Alwar basin, Rajasthan, India

SL Chattoraj, G Prasad, RU Sharma… - International Journal of …, 2020 - Elsevier
In spite of the dominance of traditional mineral exploration methods that demand physical
characterization of rocks and intense field work, remote sensing technologies have also …

HyMap imagery for copper and manganese prospecting in the east of Ameln valley shear zone (Kerdous inlier, western Anti-Atlas, Morocco)

S Hajaj, A El Harti, A Jellouli, AB Pour… - Journal of Spatial …, 2024 - Taylor & Francis
Eastern Kerdous demonstrates a polymetallic hydrothermal activity due its association with a
paleorelief area. This study focuses on generating a Mineral Potential Map based on Fuzzy …

A novel method for hyperspectral mineral mapping based on clustering-matching and nonnegative matrix factorization

Z Ren, Q Zhai, L Sun - Remote Sensing, 2022 - mdpi.com
The emergence of hyperspectral imagery paved a new way for rapid mineral mapping. As a
classical hyperspectral classification method, spectral matching (SM) can automatically map …

Can Imaging Spectroscopy Divulge the Process Mechanism of Mineralization? Inferences from the Talc Mineralization, Jahazpur, India

H Kumar, D Ramakrishnan, R Jain, H Govil - Remote Sensing, 2023 - mdpi.com
Talc deposits of Jahazpur, Rajasthan, hosted by dolomite, are one of the largest high-quality
talc deposits in India. In the present study, we use AVIRIS-NG datasets to study the link …