Paper Info
Title
Discrimination of Satellite Signals from Opencast Mining of Mineral Ores of Hematite and Uranium Using Digital Image Processing and Geostatistical Algorithms.
Abstract
This study has been conducted on mining areas of Gua and Banduhurang in Jharkhand State, India, Barbil in Orissa State, India and Mines d'Arlit, Niger. Data from the corresponding sensors of EO-I, LANDSAT and IRS (i.e., Hyperion, ETM+ and LISS III respectively) were used to discriminate satellite signals of Hematite and Uranium ores from these locations. For the data of Hyperion being hyper-spectral, correction mechanism were performed through relevant algorithms: Fast Line-of-sight Atmospheric Analysis of Hypercube (FLAASH) to remove atmospheric aerosol effects, Minimum Noise Fraction (MNF) to remove noise, Pixel Purity Index (PPI) to get spectrally the most pure pixel and Spectral Angle Mapper (SAM) in order to match the spectral similarity between an image pixel spectrum and a referenced spectrum. The data achieved from ETM+ had line-stripping, and thus were restored. On the LISS III data, vegetation had to be, virtually, removed from the images of the Indian sites, using Normalized Difference Vegetation Index (NDVI), in order to equate them with that from the Niger site. The processed data was put to a common platform statistically. Segregation of Uranium, a radioactive ore, from Hematite, a non-radioactive iron ore, could be achieved up to 82.35% using TOPSIS and 90% using pair-wise Student's t-Test. The technique of Band Ratio was also carried out and an index was generated to isolate these mines from their surroundings.
Year
DOI
Venue
2018
10.1007/978-3-319-74690-6_19
INTERNATIONAL CONFERENCE ON ADVANCED MACHINE LEARNING TECHNOLOGIES AND APPLICATIONS (AMLTA2018)
Keywords
DocType
Volume
FLAASH,Pixel,PPI,SAM,NDVI,Ground-truth,TOPSIS,Pair-wise Student's t-Test,Graphic screen,Band,Band ratio,Index image
Conference
723
ISSN
Citations 
PageRank 
2194-5357
0
0.34
References 
Authors
0
3
Name
Order
Citations
PageRank
Richa Sharma112726.46
Roheet Bhatnagar204.39
Abhishek Ojha300.34