Detection of Flooded Areas from Multi-Temporal SAR Images using Different Image Enhancementtechniques–A Comparison

Conference: McGraw-Hill International Conference on Signal, Image Processing Communication and Automation
Author(s): Preethi Sharma K, Anuradha H, Bindu A, Bindu S, Deepa S Year: 2017
Grenze ID: 02.MH-ICSIPCA.2017.1.79 Page: 513-518

Abstract

SAR images are generally available as multi-temporal images. To recognize the changes between these images\nprecise calibration and perfect spatial registration are required.Due to high asymmetry in the image histograms and minor\nunavoidable calibration errors, conventional image pre-processing techniques cannot be adopted in case of SAR images. A\nchain of pre-processing techniques with cross normalization is suggested. The pre-processing chains involving different\nhistogram equalization techniques like Histogram Equalization, Adaptive Histogram Equalization, Local Histogram\nEqualization and Contrast Limited AHE are used in the image pre-processing chain and results are compared to identify best\nsuited image pre-processing chain cross-normalization process.

<< BACK

MH-ICSIPCA - 2017