Most of the complex research problems can be formulated as optimization problems.
Emergence of big data technologies have also commenced the generation of complex …

Multispectral remote sensing images are the primary source in the land use and land cover
(LULC) monitoring. This is achieved by LULC classification and LULC change detection …

In the last few years the scientific community has realized that obtaining a better
understanding of interactions between natural systems and the man-made environment …

A novel multiscale morphological compressed change vector analysis (M 2 C 2 VA) method
is proposed to address the multiple-change detection problem (ie, identifying different …

Change detection in multitemporal remote sensing images aims to generate a difference
image (DI) and then analyze it to identify the unchanged/changed areas. The current change …

Change detection of ground surface objects can provide essential and precious information
for experts in the fields of Geomatics, emergency management, urban management …

Change detection is considered as one of the challenging issues in the field of remote
sensing. The multi-temporal images used to detect the changes generally have significant …

Abnormal event detection is one of the most challenging tasks in computer vision. Many
existing deep anomaly detection models are based on reconstruction errors, where the …

Multispectral image change detection is an important application in the field of remote
sensing. Multispectral images usually contain many complex scenes, such as ground …

Remote sensing images change detection technology has become a popular tool for
monitoring the change type, area, and distribution of land cover, including cultivated land …