3MT presented at the 2018 Defence and Security Doctoral Symposium.Remote sensing applications like classification and target detection, particularly for high demanded applications such as the detection of difficult targets from cluttered scene, depends on relevant wavelengths of information. While multispectral imagery in airborne or spaceborne platforms consists of a few wavelengths far apart from each other (usually less than 20 bands), which is found not sufficient enough. This project explores new concepts for using not only spatial/spectral information, but also to extract new information from the few bands in the input data for an enhanced spectral mixture analysis.</div
Imaging spectroscopy (IS), also commonly known as hyperspectral remote sensing, is a powerful remote...
Imaging spectroscopy (IS), also commonly known as hyperspectral remote sensing, is a powerful remote...
International audienceHyperspectral imagery collected from airborne or satellite sources inevitably ...
Hyperspectral remote sensing data can be used for civil and military applications to robustly de...
■ Spatial pixel sizes for multispectral and hyperspectral sensors are often large enough that numero...
Hyperspectral data offer refined spectral discrimination of ground targets, but come at a substantia...
Hyperspectral remote sensing is still a young field of research, but with a lot of interest, justifi...
Satellite imaging is nowadays one of the main sources of geophysical and environmental information. ...
Recent developments for acquiring and distributing remotely-sensed data have greatly increased data ...
Hyperspectral remote sensing data can be used for civil and military applications to detect and clas...
The application of hyperspectral remote sensing has been a research focus in recent years, and one o...
In recent years, the substantial increase in the number of spectral channels in optical remote sensi...
Recent developments for acquiring and distributing remotely-sensed data have greatly increased data ...
An image fusion algorithm, based upon spectral mixture analysis, is presented. The algorithm combine...
Abstract—Target detection in remotely sensed images can be conducted spatially, spectrally or both. ...
Imaging spectroscopy (IS), also commonly known as hyperspectral remote sensing, is a powerful remote...
Imaging spectroscopy (IS), also commonly known as hyperspectral remote sensing, is a powerful remote...
International audienceHyperspectral imagery collected from airborne or satellite sources inevitably ...
Hyperspectral remote sensing data can be used for civil and military applications to robustly de...
■ Spatial pixel sizes for multispectral and hyperspectral sensors are often large enough that numero...
Hyperspectral data offer refined spectral discrimination of ground targets, but come at a substantia...
Hyperspectral remote sensing is still a young field of research, but with a lot of interest, justifi...
Satellite imaging is nowadays one of the main sources of geophysical and environmental information. ...
Recent developments for acquiring and distributing remotely-sensed data have greatly increased data ...
Hyperspectral remote sensing data can be used for civil and military applications to detect and clas...
The application of hyperspectral remote sensing has been a research focus in recent years, and one o...
In recent years, the substantial increase in the number of spectral channels in optical remote sensi...
Recent developments for acquiring and distributing remotely-sensed data have greatly increased data ...
An image fusion algorithm, based upon spectral mixture analysis, is presented. The algorithm combine...
Abstract—Target detection in remotely sensed images can be conducted spatially, spectrally or both. ...
Imaging spectroscopy (IS), also commonly known as hyperspectral remote sensing, is a powerful remote...
Imaging spectroscopy (IS), also commonly known as hyperspectral remote sensing, is a powerful remote...
International audienceHyperspectral imagery collected from airborne or satellite sources inevitably ...