Change Detection using Logistic Regression Analysis for Identifying Mixed Pixels

Authors

  • Mrs.A.Sivasankari. Dr.S.Jayalakshmi

Abstract

Change detection plays a significant role in the field of remote sensing. Change detection used in the application of land use, vegetation or forest assessment, cover investigation and flood monitoring. Though manual change detection is optional, the time required is prohibitory. The detection depends on the specialized knowledge of the analyst. This paper investigates the effectiveness and classifications of land covers and water bodies with unsupervised Machine Learning Algorithm (MLA). The MLA algorithm used to find any change in some prevalent classes in urban areas, namely built-up, vegetation and water bodies. The changes in biophysical materials and human made features analyzed using change detection methods.

Published

2020-10-17

Issue

Section

Articles