In the task of change detection (CD), high-resolution remote sensing images (HRSIs) can
provide rich ground object information. However, the interference from noise and complex …

Change detection in multi-temporal remote sensing images can be widely applied in
monitoring ecosystem changes, and tracking urban developments, thus is extremely useful …

Change detection was one of the earliest and is also one of the most important applications
of remote sensing technology. For multispectral images, an effective solution for the change …

Anomaly detection is an active topic in hyperspectral imaging, with many practical
applications. Reed-**aoli detector (RXD), a widely used method for anomaly detection, uses …

Change detection is one of the most important applications of remote sensing technology. It
is a challenging task due to the obvious variations in the radiometric value of spectral …

The new generation of satellite hyperspectral (HS) sensors can acquire very detailed
spectral information directly related to land surface materials. Thus, when multitemporal …

Remote sensing change detection has played an important role in many applications. Most
traditional change detection methods deal with single-band or multispectral remote sensing …

A method and apparatus is disclosed for applying high resolution spectral imaging
(hyperspectral or multispectral) to property characterization, specifically rooftop classification …

Hyperspectral images (HSI) provide a new way to exploit the internal physical composition
of the land scene. The basic platform for acquiring HSI data-sets are airborne or spaceborne …

In recent years, the increased availability of spectral libraries has resulted in a growing
interest in sparse unmixing, which aims to find an optimal subset of library signatures to …