Land cover change detection (LCCD) with remote sensing images is an important
application of Earth observation data because it provides insights into environmental health …

There is an increasing need to get updated information regarding the changes on earth's
surface. The information obtained can be used in a wide range of applications including …

The new satellites sensors such as GeoEye, WorldView and Ikonos, provide new data for
better delineation, detection, and visualization of Land cover changes. Several techniques …

Hybrid change detection (HCD) for high-resolution imagery usually adopt decision-level
method and rely on artificial design. To address this issue, we propose a novel feature-level …

Detecting building changes based on high-resolution remote sensing images constitutes
one of the most important tools for urban management, methods based on deep learning are …

The utilization of the complementary information, the color feature, and the intensity-texture
feature, in hue, saturation, and intensity space is limited in the change detection of …

In this paper, a novel solution to the problem of unsupervised change detection in
bitemporal satellite images is presented. Information measures, which are well-known and …

External damage and geological disasters are two major hidden dangers threatening the
safety of oil and gas pipelines. Traditional manual inspection and ground sensor monitoring …

A VHR image generally has a fine resolution in the spatial domain and a coarse resolution
in the spectral domain, but it can describe ground targets in detail in terms of their texture …