Detection of Flooded Areas from Multi-Temporal
SAR Images using Different Image
Enhancementtechniques–A Comparison
Journal:
GRENZE International Journal of Computer Theory and Engineering
Authors:
Preethi Sharma K, Anuradha H, Bindu A, Bindu S, Deepa S
Volume:
3
Issue:
4
Grenze ID:
01.GIJCTE.3.4.58
Pages:
392-398
Abstract
SAR images are generally available as multi-temporal images. To recognize the
changes between these images precise calibration and perfect spatial registration are
required.Due to high asymmetry in the image histograms and minor unavoidable
calibration errors, conventional image pre-processing techniques cannot be adopted in case
of SAR images. A chain of pre-processing techniques with cross normalization is suggested.
The pre-processing chains involving different histogram equalization techniques like
Histogram Equalization, Adaptive Histogram Equalization, Local Histogram Equalization
and Contrast Limited AHE are used in the image pre-processing chain and results are
compared to identify best suited image pre-processing chain cross-normalization process.