Research article

COMPARATIVE ANALYSIS OF TEXTURE ANALYSIS METHODS FOR RETRIEVAL OF FOREST STAND AGE FOR SAR IMAGES

Gayatri Mirajkar

Online First: August 21, 2022


SAR pictures have shown to be a useful technique for determining the age of forest stands. For this aim, texture analysis methods have been frequently employed. We compared three texture analysis approaches in this study: Gray Level Co-occurrence Matrix (GLCM), Local Binary Patterns (LBP), and Gabor Filters. We collected texture characteristics from each approach using SAR photos of a wooded region in Canada. The retrieved characteristics were then statistically examined to see how efficient they were at determining forest stand age. Our findings demonstrate that GLCM and LBP outperformed Gabor Filters in determining forest stand age. This work adds to the expanding body of information on the use of SAR pictures and texture analysis methods for determining the age of forest stands.

Keywords

Feature Extraction, Thresholding Founder Matrix, Local Ternary Patterns, Gabor Filters, and Forest Stand Age Retrieval are some of the techniques used in this study.