A Review of Various Categories of Satellite Image Processing in Remote Sensing

  • Rupinder Kaur
  • Dolly Sharma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 624)


Satellite images may be unclear for many reasons. Consequently the important information in the images may not be easily seen. Image enhancement can improve a satellite image that has widespread information, but is not detectable. Image enhancement techniques are used to enhance the quality of the picture to get useful information, and many techniques have been developed to enhance the satellite images. Remote sensing technology has an important role for applications regarding the examination of the Earth. This chapter gives information and techniques useful for satellite image enhancement purposes. The general issues with satellite images are enhancement of gray scale image, noise, artifacts, distortion, resolution, less color information, and high frequency content, among others. Digital image processing is the basic concept distinctly preferred for satellite image processing. Essentially, satellite image processing information could be assembled into three types: (i) restoration, (ii) image rectification, and (iii) extracted data.


Satellite images Image processing Image enhancement Information extraction Restoration 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Computer ScienceChandigarh Group of CollegesMohaliIndia

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