FPGA Implementation of the Pixel Purity Index Algorithm for Remotely Sensed Hyperspectral Image Analysis
نویسندگان
چکیده
1Departament of Computer Architecture and Automatics, Computer Science Faculty, Complutense University of Madrid, C/ Prof. José Garćıa Santesmases s/n, 28040 Madrid, Spain 2Departament of Computer Architecture, High Polytechnic Center, University of Zaragoza, C/ Mara de Luna 3, 50018 Zaragoza, Spain 3Departament of Computer Technology and Communications, Polytechnic School of Cáceres, University of Extremadura, Avda. de la Universidad s/n, 10071 Cáceres, Spain
منابع مشابه
FPGA Design and Implementation of a Fast Pixel Purity Index Algorithm for Endmember Extraction in Hyperspectral Imagery
Hyperspectral imagery is a class of image data which is used in many scientific areas, most notably, medical imaging and remote sensing. It is characterized by a wealth of spatial and spectral information. Over the last years, many algorithms have been developed with the purpose of finding “spectral endmembers,” which are assumed to be pure signatures in remotely sensed hyperspectral data sets....
متن کاملFPGA for Computing the Pixel Purity Index Algorithm on Hyperspectral Images
The pixel purity index algorithm is employed in remote sensing for analyzing hyperspectral images. A single pixel usually covers several different materials, and its observed spectrum can be expressed as a linear combination of a few pure spectral signatures. This algorithm tries to identify these pure spectra. In this paper, we present a Field Programmable Gate Array implementation of the algo...
متن کاملUse of FPGA or GPU-based architectures for remotely sensed hyperspectral image processing
Hyperspectral imaging is a growing area in remote sensing in which an imaging spectrometer collects hundreds of images (at different wavelength channels) for the same area on the surface of the Earth. Hyperspectral images are extremely high-dimensional, and require advanced on-board processing algorithms able to satisfy near real-time constraints in applications such as wildland fire monitoring...
متن کاملFPGA-Based Hyperspectral Data Compression Using Spectral Unmixing and the Pixel Purity Index Algorithm
Hyperspectral data compression is expected to play a crucial role in remote sensing applications. Most available approaches have largely overlooked the impact of mixed pixels and subpixel targets, which can be accurately modeled and uncovered by resorting to the wealth of spectral information provided by hyperspectral image data. In this paper, we develop an FPGA-based data compression techniqu...
متن کاملImproving the Performance of Hyperspectral Image and Signal Processing Algorithms Using Parallel, Distributed and Specialized Hardware-Based Systems
Advances in sensor technology are revolutionizing the way remotely sensed data is collected, managed and analyzed. The incorporation of latestgeneration sensors to airborne and satellite platforms is currently producing a nearly continual stream of highdimensional data, and this explosion in the amount of collected information has rapidly created new processing challenges. For instance, hypersp...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- EURASIP J. Adv. Sig. Proc.
دوره 2010 شماره
صفحات -
تاریخ انتشار 2010