Change detection in remote-sensing images is used to detect changes during different time
periods on the surface of the Earth. Because of the advantages of synthetic aperture radar …

Monitoring arid areas could effectively improve economic, ecological and humanity benefits.
It is an effective monitoring approach to recognize the land cover or land use of arid areas …

Deep learning has become an effective method for hyperspectral image classification.
However, the high band correlation and data volume associated with airborne hyperspectral …

Building detection in high-resolution satellite images has received great attention, as it is
important to increase the accuracy of urban planning. The building boundary detection in the …

Super-resolution reconstruction refers to the technique of reconstructing a high-resolution
image from a single or a series of low-resolution images by digital image processing. This …

Deep learning methods have recently displayed ground‐breaking results for synthetic
aperture radar image change detection problem. However, they still face the challenges of …

Abstract By using Synthetic Aperture Radar (SAR) sensors, change detection of earth's
surface can be tracked. The SAR is able to rectify the same region at frequent basis, giving …