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
AbstractSAR 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. |
MH-ICSIPCA - 2017 |