This paper is published in Volume-3, Issue-3, 2017
Area
Image Processing
Author
Raghunatha .M, Prof. Shobha .S
Org/Univ
Cambridge Institute of Technology, Bengaluru, Karnataka, India
Pub. Date
31 May, 2017
Paper ID
V3I3-1345
Publisher
Keywords
Remote Sensing, satellite Imagery, High Resolution Images, Atmospheric Correction and Orthorectification, Pansharpening.

Citationsacebook

IEEE
Raghunatha .M, Prof. Shobha .S. Classification of Land and Marine Resources Using SVM Classifier, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Raghunatha .M, Prof. Shobha .S (2017). Classification of Land and Marine Resources Using SVM Classifier. International Journal of Advance Research, Ideas and Innovations in Technology, 3(3) www.IJARIIT.com.

MLA
Raghunatha .M, Prof. Shobha .S. "Classification of Land and Marine Resources Using SVM Classifier." International Journal of Advance Research, Ideas and Innovations in Technology 3.3 (2017). www.IJARIIT.com.

Abstract

In the last several years, there have been significant decrease in ecosystem marine and terrestrial resources. Therefore the conservation and management of these natural resources are very essential aspect for the present and for future generation. The main objective of the paper is to build and develop the advanced image processing methods applied to remote sensing images for the marine and land resources conservation. Different image processing techniques have been implemented in preprocessing stage in order to acquire high resolution satellite imagery. The paper in mainly focused on three ecosystems from the canary islands where, after different evaluation and extensive analysis are made. Pansharpening process is used to enhance the image quality, then, a different RPC models have been used to perform the orthorectification and finally, advanced techniques have been used for atmospheric correction. The final procedure is to develop the marine and terrestrial product map using advanced classification techniques for the management of marine and natural resources.