An image fusion algorithm, based upon spectral mixture analysis, is presented. The algorithm combines low spatial resolution multi/hyperspectral data with high spatial resolution sharpening image(s) to create high resolution material maps. Spectral (un)mixing estimates the percentage of each material (called endmembers) within each low resolution pixel. The outputs of unmixing are endmember fraction images (material maps) at the spatial resolution of the multispectral system. This research includes developing an improved unmixing algorithm based upon stepwise regression. In the second stage of the process, the unmixing solution is sharpened with data from another sensor to generate high resolution material maps. Sharpening is implemented as...
ABSTRACT: In this research, we jointly process high spectral and high geometric resolution images, e...
Images of ground scenes have a tradeoff between spatial and spectral resolution. Sensors with fine s...
Model based analysis or explicit definition/listing of all models or assumptions used in the derivat...
An image fusion algorithm, based upon spectral mixture analysis, is presented. The algorithm combine...
This paper presents a high-resolution hyperspectral image fusion algorithm based on spectral unmixin...
This paper presents a high-resolution hyperspectral image fusion algorithm based on spectral unmixin...
Due to the trade-off between spatial and spectral resolution in optical imaging systems, hyperspectr...
In this work, we jointly process high spectral and high geometric resolution images and exploit thei...
Publiher's version (útgefin grein)We propose an unmixing framework for enhancing endmember fraction ...
In this work, we jointly process high spectral and high geometric resolution images and exploit thei...
Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. ...
In recent years, the substantial increase in the number of spectral channels in optical remote sensi...
This paper presents a multiband image fusion algo- rithm based on unsupervised spectral unmixing for...
International audienceOur framework is the synthesis of multispectral images (MS) at higher spatial ...
Image fusion aims to spatially enhance a low-resolution multispectral (MS) image by utilizing a high...
ABSTRACT: In this research, we jointly process high spectral and high geometric resolution images, e...
Images of ground scenes have a tradeoff between spatial and spectral resolution. Sensors with fine s...
Model based analysis or explicit definition/listing of all models or assumptions used in the derivat...
An image fusion algorithm, based upon spectral mixture analysis, is presented. The algorithm combine...
This paper presents a high-resolution hyperspectral image fusion algorithm based on spectral unmixin...
This paper presents a high-resolution hyperspectral image fusion algorithm based on spectral unmixin...
Due to the trade-off between spatial and spectral resolution in optical imaging systems, hyperspectr...
In this work, we jointly process high spectral and high geometric resolution images and exploit thei...
Publiher's version (útgefin grein)We propose an unmixing framework for enhancing endmember fraction ...
In this work, we jointly process high spectral and high geometric resolution images and exploit thei...
Hyperspectral imaging sensors exibit high spectral resolution, but normally low spatial resolution. ...
In recent years, the substantial increase in the number of spectral channels in optical remote sensi...
This paper presents a multiband image fusion algo- rithm based on unsupervised spectral unmixing for...
International audienceOur framework is the synthesis of multispectral images (MS) at higher spatial ...
Image fusion aims to spatially enhance a low-resolution multispectral (MS) image by utilizing a high...
ABSTRACT: In this research, we jointly process high spectral and high geometric resolution images, e...
Images of ground scenes have a tradeoff between spatial and spectral resolution. Sensors with fine s...
Model based analysis or explicit definition/listing of all models or assumptions used in the derivat...