Add to ORKGHyperspectral imaging systems, used in conjunction with appropriate detection and recognition algorithms, have demonstrated to be very useful tools in many different remote sensing applications [1]. These instruments are capable of collecting hundreds of images, corresponding to different wavelengt
The rapid development of space and computer technologies has made possible to store a large amount o...
tionizing the way remotely sensed data is collected, managed and analyzed. The incorporation of late...
Abstract. Imaging spectroscopy, also known as hyperspectral remote sensing, is concerned with the me...
Abstract—Automated extraction of spectral endmembers is a crucial task in hyperspectral data analysi...
Abstract—Spatial/spectral algorithms have been shown in pre-vious work to be a promising approach to...
In this letter, we discuss the use of multicore processors in the acceleration of endmember extracti...
Computationally efficient processing of hyperspectral image cubes can be greatly beneficial in many ...
During the last years, several high-resolution sensors have been developed for hyperspectral remote ...
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing...
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data ...
Hyperspectral imagery is a new class of image data which is mainly used in remote sensing. It is cha...
The development of efficient techniques for transforming the massive volume of remotely sensed hyper...
Current advancements in sensor technology bring new possibilities in multi- and hyperspectral imagin...
An efficient algorithm for endmember selection is illustrated. Endmembers are estimated by an unsup...
This dissertation investigates two issues of finding endmembers which have been overlooked in the pa...
The rapid development of space and computer technologies has made possible to store a large amount o...
tionizing the way remotely sensed data is collected, managed and analyzed. The incorporation of late...
Abstract. Imaging spectroscopy, also known as hyperspectral remote sensing, is concerned with the me...
Abstract—Automated extraction of spectral endmembers is a crucial task in hyperspectral data analysi...
Abstract—Spatial/spectral algorithms have been shown in pre-vious work to be a promising approach to...
In this letter, we discuss the use of multicore processors in the acceleration of endmember extracti...
Computationally efficient processing of hyperspectral image cubes can be greatly beneficial in many ...
During the last years, several high-resolution sensors have been developed for hyperspectral remote ...
Hyperspectral sensors represent the most advanced instruments currently available for remote sensing...
Recent advances in space and computer technologies are revolutionizing the way remotely sensed data ...
Hyperspectral imagery is a new class of image data which is mainly used in remote sensing. It is cha...
The development of efficient techniques for transforming the massive volume of remotely sensed hyper...
Current advancements in sensor technology bring new possibilities in multi- and hyperspectral imagin...
An efficient algorithm for endmember selection is illustrated. Endmembers are estimated by an unsup...
This dissertation investigates two issues of finding endmembers which have been overlooked in the pa...
The rapid development of space and computer technologies has made possible to store a large amount o...
tionizing the way remotely sensed data is collected, managed and analyzed. The incorporation of late...
Abstract. Imaging spectroscopy, also known as hyperspectral remote sensing, is concerned with the me...