scholarly journals Nontronite mineral identification in nilgiri hills of tamil nadu using hyperspectral remote sensing

2017 ◽  
Vol 263 ◽  
pp. 032001 ◽  
Author(s):  
M. Vigneshkumar ◽  
Kiran Yarakkula
Keyword(s):  
Remote Sensing ◽  
Tamil Nadu ◽  
Hyperspectral Remote Sensing ◽  
Mineral Identification

Discussion on Development of Mineral Identification System Based on IDL

2014 ◽  
Vol 971-973 ◽  
pp. 1607-1610
Author(s):  
Yong Fei Che ◽  
Ying Jun Zhao ◽  
Wen Huan Wu
Keyword(s):  
Remote Sensing ◽  
Data Processing ◽  
Spectral Characteristics ◽  
Processing System ◽  
Mineral Resources ◽  
Hyperspectral Remote Sensing ◽  
Identification System ◽  
Mechanism Analysis ◽  
Remote Sensing Image Processing ◽  
Mineral Identification

The traditional data processing and analysis method of remote sensing image processing system cannot meet the hyperspectral remote sensing mass data processing and the need of practical application in mineral resources exploration. By studying the systematical analysis and key technology on the hyperspectral mineral information identification module, and analyzing and thinking about the relevant theoretical methods and technical process, carried out the development of hyperspectral mineral information identification module based on IDL and integrated with ENVI software, providing the basic support platform for hyperspectral remote sensing mineral resources exploration. Meanwhile, the existing problems were discussed from the spectral characteristics mechanism analysis of rock and the hyperspectral mineral identification optimization algorithms.

Research and development of mineral identification utilizing hyperspectral remote sensing

2015 ◽  
Vol 23 (8) ◽  
pp. 2407-2418 ◽  
Author(s):  
张成业 ZHANG Cheng-ye ◽  
秦其明 QIN Qi-ming ◽  
陈理 Chen Li ◽  
王楠 Wang Nan ◽  
赵姗姗 Zhao Shan-shan
Keyword(s):  
Remote Sensing ◽  
Research And Development ◽  
Hyperspectral Remote Sensing ◽  
Mineral Identification

scholarly journals IDENTIFICATION OF IRON OXIDES MINERALS IN WESTERN JAHAJPUR REGION, INDIA USING AVIRIS-NG HYPERSPECTRAL REMOTE SENSING

2018 ◽  
Vol XLII-5 ◽  
pp. 233-237 ◽  
Author(s):  
H. Govil ◽  
M. K. Tripathi ◽  
P. Diwan ◽  
S. Guha ◽  
Keyword(s):  
Remote Sensing ◽  
Iron Oxides ◽  
Hyperspectral Remote Sensing ◽  
High Signal ◽  
Electromagnetic Spectrum ◽  
Advanced Technique ◽  
Spectral Signatures ◽  
Surficial Deposits ◽  
Iron Bearing ◽  
Mineral Identification

<p><strong>Abstract.</strong> Hyperspectral remote sensing is being considered as an advanced technique for mineral identification of surficial deposits. In this research different iron oxides minerals such as limonite, goethite has been identified using AVIRIS-NG airborne hyperspectral remote sensing covering the Omkarpura, Itwa, and Chhabadiya mines area in Jahajpur Bhilwara, Rajasthan, India. AVIRIS-NG has shown robust performance in iron oxide identification in the study area. Mineral spectral signatures of the AVIRIS-NG data were compared with spectra of USGS spectral library, and field investigated mineral spectra of iron oxides and found very promising. The results allow us to conclude that due the high signal to noise ratios of the AVIRIS-NG, it is capable to identify the different iron bearing minerals in the visible and infrared portion of the electromagnetic spectrum.</p>

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology
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