Satellite onboard processing for hyperspectral imaging applications is characterized by large data sets, limited processing resources and limited bandwidth of communication links. The CCSDS-123 algorithm is a specialized compression standard assembled for space-related applications. In this paper, a parallel FPGA implementation of CCSDS-123 compression algorithm is presented. The proposed design can compress any number of samples in parallel allowed by resource and I/O bandwidth constraints. The CCSDS-123 processing core has been placed on Zynq-7035 SoC and verified against the existing reference software. The estimated power use scales approximately linearly with the number of samples processed in parallel. Finally, the proposed implementa...
Hyperspectral imaging is a technology which, by sensing hundreds of wavelengths per pixel, enables f...
The advent of space technologies eases the collection information from earth surface through remote ...
The usage of graphics processing units (GPUs) as computing architectures for inherently data paralle...
Satellite onboard processing for hyperspectral imaging applications is characterized by large data s...
Hyperspectral imaging (HSI) can extract information from scenes on the earth surface acquired by air...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Hyperspectral data processing is a computationally intensive task that is usually performed in high-...
As a part of the SmallSat project at NTNU, a satellite payload capable of capturing and processing o...
Image compression is an important requirement of imaging payloads on board Earth Observation satelli...
Hyperspectral imaging is a technology which, by sensing hundreds of wavelengths per pixel, enables f...
The advent of space technologies eases the collection information from earth surface through remote ...
The usage of graphics processing units (GPUs) as computing architectures for inherently data paralle...
Satellite onboard processing for hyperspectral imaging applications is characterized by large data s...
Hyperspectral imaging (HSI) can extract information from scenes on the earth surface acquired by air...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Multispectral and Hyperspectral Images are widespread in Remote Sensing and Space Imaging Applicatio...
Hyperspectral data processing is a computationally intensive task that is usually performed in high-...
As a part of the SmallSat project at NTNU, a satellite payload capable of capturing and processing o...
Image compression is an important requirement of imaging payloads on board Earth Observation satelli...
Hyperspectral imaging is a technology which, by sensing hundreds of wavelengths per pixel, enables f...
The advent of space technologies eases the collection information from earth surface through remote ...
The usage of graphics processing units (GPUs) as computing architectures for inherently data paralle...