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Research on Optimal Data Selection Technology of Optical Remote Sensing Satellite Images

Peng Zhang
School of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou 510006, China

Abstract—The optimal data selection technique mainly studies which images and the contents of the images should be selected for processing in the process of natural resource survey using optical remote sensing satellites, so as to obtain the best processing effect. This paper realizes a data selection method for optical remote sensing satellite images. The method uses the image semantic segmentation technology to achieve refined cloud detection, uses the various indicator comprehensively evaluating the image quality, uses the regional coverage technology to form an optimal data selection and organization scheme. It can quickly select a set of optimal data sets that can cover the target area and ensure image quality from the massive candidate data according to the time and space range specified by the user. The method is applied to the optimal data selection software module of optical satellite for fine classification of forest land. The results show that the algorithm can effectively replace the manual visual data selection method and provide technical support for various types of natural resources survey tasks

Index Terms—Data selection, cloud detection, quality evaluation, area coverage

Cite: Peng Zhang, “Research on Optimal Data Selection Technology of Optical Remote Sensing Satellite Images,”Journal of Communications vol. 15, no. 2, pp. 185-191, February 2020. Doi: 10.12720/jcm.15.2.185-191

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.