Change vector analysis (CVA) has been widely used in change detection of multitemporal
multispectral images, whereas the use of a spectral angle mapper (SAM) is always ignored …

The presence of phenomena such as earthquakes, floods and artificial human activities
causes changes on the Earth's surface. Change detection (CD) is an essential tool for the …

This paper presents a new unsupervised change detection methodology for multispectral
images applied to specific land covers. The proposed method involves comparing each …

This study was conducted to assess the state of soil degradation in a semi-arid environment
in the southern part of the Central High Atlas of Morocco (CHA), in the vicinity of the El …

Change vector analysis (CVA) and Spectral Angle Mapper (SAM) are widely used for
change detection in multitemporal multispectral images. CVA and SAM describe the …

One main problem of the spectral decomposition-based change detection method is the lack
of efficient automatic techniques for developing the difference image. Traditional techniques …

Change vector analysis in posterior probability space (CVAPS) has been introduced
recently as an effective method for change detection. CVAPS is based on the length of …

Change vector analysis (CVA) and spectral angle mapper (SAM) are usually used to
generate difference image in change detection of multispectral images. Although CVA and …

Due to the rapid process of urbanization, new build up areas and infrastructures like
buildings, streets, bridges, and other man-made objects are changing the world all the time …

Change detection is one of the most active research areas in remote sensing, driven by the
desire to monitor the highly dynamic world around us. Modern very high resolution (VHR) …