文章基本信息

标题：REMOVAL OF CLOUD AND SHADOW INFLUENCE FROM REMOTELY SENSED IMAGES THROUGH LANDSAT8/OLI/TIRS USING MINIMUM DISTANCE SUPERVISED CLASSIFICATION
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作者：Renuka S.Gound ; Sudeep D.Thepade
期刊名称：Indian Journal of Computer Science and Engineering
印刷版ISSN：2231-3850
电子版ISSN：0976-5166
出版年度：2021
卷号：12
期号：6
页码：1734-1748
DOI：10.21817/indjcse/2021/v12i6/211206118
语种：English
出版社：Engg Journals Publications
摘要：Earth Coverage Antennas (ECA) belonging to LANDSAT8/OLI/TIRS is utilized for coverage of ground sites or land covers below Spacecraft. Earth observation system is a primary application of ECA. Earth Observation is needed for monitoring and adapting the global changes which may occurs through environmental effects over land cover. Natural or human-induced disasters, weather, ocean, climate, land is need to be understood for adaption of global change. Classification of land cover images captured through Earth Coverage Antennas provide necessary information required for decision making. Application of land cover classification includes making report for land cover change, vegetation, prediction of environmental or climate issue, meteorology, etc. Present article explores application of supervised classification over land cover images captured through Landsat 8/OLI/TIRS with improvement in the visibility of Land Cover Surface by removing the obstacles like cloud and their shadows which are coming in between satellite and land surface. Supervised classification used in experimentation is Minimum Distance by using semi-automatic classification plugin (SCP) with QGIS. Accuracy assessment is done for evaluation of error and reliability of land cover classification. Accuracy Assessment of supervised classification applied over land cover includes calculation of Kappa Hat Statistics, UA (User Accuracy), PA (Producer Accuracy), Error of Omission and Error of Commission. Overall Accuracy seen in the derived Classification result and statistics is more desirable.
关键词：Earth Coverage Antennas (ECA);Minimum Distance Classification;Landsat 8;OLI;TIRS;Quality Assessment Band;UA (User Accuracy);PA (Producer Accuracy);Kappa Hat Statistics