Abstract
Best performance and greatness in precise changes are vital factors of change detection. The proposed method is mutual task to deal about preprocessing and change detection of multitemporal SAR images. In preprocessing stage, Speckle Reducing Anisotropic Diffusion is implemented in each layer of multiscale pyramid transform. The speckle free images are interpreted by Absolute difference method and XOR operator to retrieve primary difference image. After that desired change detection is fused by laplacian pyramid coefficient. Fused difference image incorporates the advantages of absolute difference and XOR operation. Finally robotic threshold algorithm of Otsu is used to predict exact change detection. For experimental purposes two data sets are preferred from Envisat and TerraSAR-X images. Standard quality has been evaluated on the proposed method to quantitatively prove the performance.
Highlights
The Change Detection (CD) is the ultimate task of remote sensing to discover the differences between two same geographical images at specific times
This paper aims an exclusive method of fusion based change detection in multitemporal Synthetic Aperture Radar (SAR) images under unsupervised category
An image profile has shown the effectiveness of distance along with the profile for speckle and despeckled images for various datasets are shown in Fig. 2, Fig. 4 and Fig. 6 respectively
Summary
The Change Detection (CD) is the ultimate task of remote sensing to discover the differences between two same geographical images at specific times This geological image is carried out by microwave sensors of Synthetic Aperture Radar (SAR) images [1]. Speckle noise reduction is a crucial chore to focus on This will deteriorate the post processing procedures like registration, change analysis, etc. Speckle reduction techniques have to ensure that should not introduce any undesirable information To overcome these problems, diffusion based speckle reducing anisotropic diffusion (SRAD) method is introduced [9]. Diffusion based speckle reducing anisotropic diffusion (SRAD) method is introduced [9] This will weaken the speckle noise and enhance edge information. An Otsu‟s threshold algorithm [6] is preferred to select an automatic threshold value based on gray level distribution
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