Optimal Land-cover Classification Feature Selection in Arid Areas based on Sentinel-2 Imagery and Spectral Indices

IF 0.7 Q3 COMPUTER SCIENCE, THEORY & METHODS

International Journal of Advanced Computer Science and Applications Pub Date : 2023-01-01 DOI:10.14569/ijacsa.2023.0140312

Mohammed Saeed, Asmala Ahmad, O. Mohd

引用次数: 0

Abstract

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基于Sentinel-2影像和光谱指数的干旱区土地覆盖分类特征优选

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来源期刊

International Journal of Advanced Computer Science and Applications COMPUTER SCIENCE, THEORY & METHODS-

CiteScore

2.30

自引率

22.20%

发文量

519

期刊介绍： IJACSA is a scholarly computer science journal representing the best in research. Its mission is to provide an outlet for quality research to be publicised and published to a global audience. The journal aims to publish papers selected through rigorous double-blind peer review to ensure originality, timeliness, relevance, and readability. In sync with the Journal''s vision "to be a respected publication that publishes peer reviewed research articles, as well as review and survey papers contributed by International community of Authors", we have drawn reviewers and editors from Institutions and Universities across the globe. A double blind peer review process is conducted to ensure that we retain high standards. At IJACSA, we stand strong because we know that global challenges make way for new innovations, new ways and new talent. International Journal of Advanced Computer Science and Applications publishes carefully refereed research, review and survey papers which offer a significant contribution to the computer science literature, and which are of interest to a wide audience. Coverage extends to all main-stream branches of computer science and related applications