Quantities of multi-temporal remote sensing (RS) images create favorable conditions for
exploring the urban change in the long term. However, diverse multi-source features and …

-This article presents Bayes' theorem for wavelength-resolution synthetic aperture radar
(SAR) change detection method development. Different change detection methods can be …

Generalized likelihood ratio test (GLRT) is an efficient method to generate difference image
(DI) for change detection (CD) using synthetic aperture radar (SAR) images. GLRT is usually …

In recent years, with the development of high-resolution remote sensing (RS) images and
deep learning technology, high-quality source data and state-of-the-art methods have …

In remote sensing, vegetation and water areas delineation from satellite image plays a vital
role for urban and rural planning. Delineation of vegetation and water area is a challenging …

Change detection in synthetic aperture radar (SAR) images is an important part of remote
sensing (RS) image analysis. Contemporary researchers have concentrated on the spatial …

This paper presents the proposal of a new change detection method for intensity VHF
wavelength-resolution images. High-amplitude pixels are related to the presence of strong …

Change detection using satellite imagery has applications in urban development, disaster
response and precision agriculture. Current deep learning models show promising results …