A Case Study on Image Co-Registration of Hyper-Spectral and Dual (L & S) Band SAR Data and Ore Findings Over Zewar Mines, India
Dipanjan Dutta1, Tamesh Halder2, Abhishek Penchala3, Kandukoori Vamshi Krishna4, Grajula Prashnath5, Debashish Chakravarty6
1Dipanjan Dutta, Department of Electronics, KIIT, Bhuwenswar, Odhisa, India.
2Tamesh Halder, Department of Mining Engineering, IIT Kharagpur, Kharagpur (West Bengal), India.
3Abhishek Penchala, Department of Mining Engineering, IIT Kharagpur (West Bengal), India.
4Kandukoori Vamshi Krishna, Department of Mining Engineerin, Zewar Mines, Zewar (Rajasthan), India.
5Grajula Prashnath, Department of Mining Engineering. Zewar Mines, Zewar (Rajasthan), India.
6Debashish Chakravarty, Department of Mining Engineering, IIT Khragpur (West Bengal), India.
Manuscript received on 12 April 2024 | Revised Manuscript received on 18 April 2024 | Manuscript Accepted on 15 May 2024 | Manuscript published on 30 May 2024 | PP: 17-25 | Volume-12 Issue-6, May 2024 | Retrieval Number: 100.1/ijese.A805513010524 | DOI: 10.35940/ijese.A8055.12060524
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The technique of superimposing two or more photographs in a way that ensures that for each image, the same pixel corresponds to the same location of the target scene is known as image coregistration It is a crucial stage in the picture enhancement process for satellite images. Different frequency bands store feature. Image fusion makes it possible to superimpose co-registered pictures taken by several sensors to get a superior image incorporating elements from both sources. On many match patches that are evenly dispersed over the two scenes, we estimate pixel offsets between possibly coherent picture pairings as image coregistration allows a more detailed single image to be obtained than many photos with distinct attributes. This study presents existing various fusion methods for ASAR (Airborne Synthetic Aperture Radar) images in the S-band and L-band to interpret urban, forestry, and agricultural areas. AVIRIS hyper spectral data also shows mining possibilities on ore of region. Hence, the seeking of ore region, and coregistration using fusion facilitates the remote sensing architecture next to drones.
Keywords: Co-registration, AVIRIS, Fusion, ASAR, S-Band, L-Band.
Scope of the Article: Pattern Recognition and Analysis