Comparative Study of Relative Radiometric Normalization using No Change Set
Manisha Patil1, Manjusha Deshmukh2
1Manisha Patil, Department of Electronics and Telecommunication, Mumbai Univercity/ Saraswati College of Engineering/ Kharghar, Navi Mumbai (Maharashtra), India.
2Dr. Manjusha Deshmukh, Department of Electronics and Telecommunication, Mumbai Univercity/ Saraswati College of Engineering/ Kharghar, Navi Mumbai (Maharashtra), India.
Manuscript received on 20 May 2014 | Revised Manuscript received on 25 May 2014 | Manuscript published on 30 May 2014 | PP: 32-36 | Volume-3 Issue-2, May 2014 | Retrieval Number: B1081053214/2014©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Satellite images involves radiometric errors as well as geometric errors, these errors should be normalized. For radiometric correction of satellite images there two main methods are useful, absolute radiometric normalization and relative radiometric normalization. Relative radiometric correction has number of applications in weather and climate studies, crop studies, detection and removal of cloud, change detection and so on. The image distortion due to cloud cover is a classical problem of remote sensing imagery. Especially, for non-stationary satellite, it is commonly found in the earth resource observation application. Removing cloud cover from satellite imagery is very useful for assisting image interpretation. Hence cloud detection and removal is very vital in processing of satellite imagery. For detection and removal of cloud relative radiometric normalization using no change set (NC) technique is proposed here in spatial domain as well as in frequency domain. The cloudy image is radiometrically normalized by using reference image of same area, acquired at different date. The visual appearance results, statistical results and histogram results are discussed.
Keywords: Normalization, No Change Set, Radiometric, Relative.
Scope of the Article: Software Engineering Case Study and Experience Reports