Digital Image Processing of Remotely Sensed Satellite Images for Information Extraction
- Abstract
Remote Sensing (RS) refers to the science of identification of earth surface features by measuring portion of reflected or emitted electromagnetic radiation from earth’s surface by sensors onboard manmade satellites orbiting around the earth. The output of a remote sensing system is usually an image representing the scene being observed. Many further steps of digital image processing and modelling are required in order to extract useful information from the image. Suitable techniques are adopted for a given theme, depending on the requirements of the specific problem. Multi-spectral classification is an information extraction process that analyses these spectral signatures and assigns the pixels to classes based on similar signatures. The paper reviews the digital image processing techniques for information extraction from high resolution satellite images.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - MINAKSHI KUMAR AU - R. K. Singh PY - 2013/04 DA - 2013/04 TI - Digital Image Processing of Remotely Sensed Satellite Images for Information Extraction BT - Proceedings of the Conference on Advances in Communication and Control Systems (CAC2S 2013) PB - Atlantis Press SP - 406 EP - 410 SN - 1951-6851 UR - https://www.atlantis-press.com/article/6345 ID - KUMAR2013/04 ER -