SAR image change detection based on equal weight image fusion and adaptive threshold in the NSST domain

Compressed-Sampling-Based Image Saliency Detection in the Wavelet Domain

When watching natural scenes, an overwhelming amount of information is delivered to the Human Visual System (HVS). The optic nerve is estimated to receive around 108 bits of information a second. This large amount of information can’t be processed right away through our neural system. Visual attention mechanism enables HVS to spend neural resources efficiently, only on the selected parts of the...

Multipolarimetric Sar Image Change Detection Based on Multiscale Feature-level Fusion

Many methodologies of change detection have been discussed in the literature, but most of them are tested on only optical images or traditional synthetic-aperture radar (SAR) images. Few studies have investigated multipolarimetric SAR image change detection. In this study, we presented a type of multipolarimetric SAR image change detection approach based on nonsubsampled contourlet transform an...

Image Fusion and Fuzzy Clustering based Change Detection in SAR Images

Change detection in remote sensing images becomes more and more important for the last few decades, among them change detection in Synthetic Aperture Radar (SAR) images are having some more difficulties than optical ones due to the fact that SAR images suffer from the presence of the speckle noise. This paper presents unsupervised change detection in multi-temporal Synthetic Aperture Radar (SAR...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Change detection from satellite images based on optimal asymmetric thresholding the difference image

As a process to detect changes in land cover by using multi-temporal satellite images, change detection is one of the practical subjects in field of remote sensing. Any progress on this issue increase the accuracy of results as well as facilitating and accelerating the analysis of multi-temporal data and reducing the cost of producing geospatial information. In this study, an unsupervised chang...