COMPREHENSIVE STUDY OF HYPERSPECTRL SIGNATURES, PETROGRAPHY AND EDX ANALYSIS ON GOLD BEARING LITHO UNITS OF KEMPINAKOTE, NUGGIHALLI SCHIST BELT, DHARWAR CRATON, KARNATAKA, INDIA
Journal Title: International Journal of Computer Engineering & Technology (IJCET) - Year 2019, Vol 10, Issue 3
Abstract
The Archean Green Stone Belts (AGSB) having enormous metalliferous deposits like gold , copper, silver, iron and other precious gem stones which are also called as schist belts of Dharwar Craton. The study area Kempinakote lies in southern most part of Nuggihalli Schist Belt of Hassan district. The schist belt consists commonly two rock types Amphibolites and Ultramafics with their variants. Gold is occurring at or near the amphibolite-ultramafic contact. The Study area comes to Hassan district, Random samples were collected such as Gold bearing Amphibolite schist, Amphibolite, Diorite, Gabbro through GTC (Ground Truth Check). The study carried out by Geological, Petrological, Ore microscopic, SEM-EDX and Hyperspectral signatures using advent high-tech tools of Spectro- Radiometer (Spectral Evolution SR-3500) instrument, DARWin SP.V.1.3.0 and GIS software's. The spectral signatures of the collected samples were derived in laboratory environment to achieve better accuracy. Hyperspectral (350-2500nm) were developed as works mainly on physicochemical and optical properties of the litho unit which help in mapping of gold mineralization at lithological contacts and mineralized zones of amphibolites and ultramafic rocks. The final results highlight the gold specks were noticed through ore microscopy and presence of gold is confirmed through SEM-EDX studies and also spectral characters of Gold bearing amphibolites schist and associated rocks for better mapping of Kempinakote area of Hassan district in Precambrian basement rocks and similar terrains of Dharwarcraton.
Authors and Affiliations
ABRAR AHMED, MARUTHI N. E and H. T. BASAVARAJAPPA
Keywords
Related Articles
- EP ID EP46558
- DOI 10.34218/IJCET.10.3.2019.006
- Views 189
- Downloads 0
A STUDY ON REGULARIZATION FUNCTIONS AND REGULATION PARAMETERS IN IMAGE RESTORATION
The aim of this paper is to apply the regularization functions namely TV norm, l1 norm and l0 norm and regularization parameters with these norms in image restoration. This class of problems results from combining a li...
IMAGE RESTORATION BY IMPROVED ITERATIVE SHRINKAGE THRESHOLDING ALGORITHM
The problem of restoration of digital images plays a central role in multitude important applications. A particularly challenging instance of this problem occurs in the case when the degradation phenomenon is modelled...
8 BIT SINGLE CYCLE PROCESSOR
Processors are an integral part of the computer and electronics industry. Every computational unit contains some sort of processing circuit, designed to perform multiple operations on a single device and can be categor...
FACE RECOGNITION IMPLEMENTATION ON RASPBERRYPI USING OPENCV AND PYTHON
Distinguishing an individual with a picture has been advanced through the broad communications. Be that as it may, it is less powerful to unique finger impression or retina examining. This report depicts the face detec...
GPU BASED TOOLBOX FOR FUZZY LOGIC SYSTEM USING WHALE OPTIMIZATION ALGORITHM
Fuzzy Logic System (FLS) is an efficient method to solve engineering problems. However, the training of a Fuzzy Logic System is a time-consuming task. Optimization Algorithm can be used to optimize the rule base of any...