Image based Land Cover Classification for Remote Sensing Applications-A review

被引：2

作者：

Manikandan, Mishaa M. ^{[1
]}

Andrushia, A. Diana ^{[1
]}

Neebha, T. Mary ^{[1
]}

机构：

[1] Karunya Inst Technol & Sci, Dept Elect & Commun Engn, Coimbatore, Tamil Nadu, India

来源：

ICSPC'21: 2021 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICPSC) | 2021年

关键词：

land cover classification; remote sensing; image processing; urban development;

D O I：

10.1109/ICSPC51351.2021.9451755

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Land cover is a material present in the earth surface. It consists of forest, farming land, fertile, infertile lands, desert, water bodies and agricultural areas etc., The basic need for capturing the information of the land cover is to classify the land resources according to their soil, water, climatic condition and to utilize it in the proper manner. Land use gives the knowledge about the uses and the benefits of the land used for man like mining, industrial and cultivation land. The aim of this article is to perform a detailed review of image-based land cover classification with respect to remote sensing applications.

引用

页码：152 / 155

页数：4

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