Analysis and Information Extraction Through the Data Generated by LISS-III Sensor of IRS-P6

Authors

  • Satyanarayana Chanagala Department of ECE,SBIT, Khammam, Telangana, India.
  • M. Srinivasa Sesha Sai Department of Information Technology, KITS, Guntur, Andhra Pradesh, India.
  • Srirammurthy Talakola Pace Institute of Technology and Science (Autonomous), Ongole, India.
  • Prashant Shamrao Watkar Ballarpur Institute of Technology, Ballarpur, India.
  • Shubham Kailash Durge BIT, Ballarpur, India.

DOI:

https://doi.org/10.9734/bpi/rtcams/v8/3014E

Keywords:

Remote sensing, geometric corrections, ground control points, classification

Abstract

Remotely sensed image raw data by a satellite or an aircraft must be adjusted. The curvature of the Earth, as well as the sensor used, distorts even images of relatively flat places.  As a result, geometrically correcting an image is necessary so that it can be represented on a planar surface, confirm to other images, and have the integrity of a map.  A map projection system is any system supposed to represent the surface of a sphere or spheroid, such as the Earth, on a plane. For this work data from satellite image (IRS – P6) by LISS-III sensor of 23.5m resolution. This image represents Ramtek city of Nagpur district (Maharashtra state of India). This raw FCC image is preprocessed, which contains importing, sub setting, and georeferencing, as well as extracting useful information via supervised classification and concluding with an accuracy analysis.  The investigation reveals that the satellite only senses the spectral signature.  

Published

2022-03-08

How to Cite

Satyanarayana Chanagala, M. Srinivasa Sesha Sai, Srirammurthy Talakola, Prashant Shamrao Watkar, & Shubham Kailash Durge. (2022). Analysis and Information Extraction Through the Data Generated by LISS-III Sensor of IRS-P6. Novel Perspectives of Engineering Research Vol. 8, 82–90. https://doi.org/10.9734/bpi/rtcams/v8/3014E

Issue

Novel Perspectives of Engineering Research Vol. 8

Section

Chapters