A Hardware Accelerator for Onboard Spatial Resolution Enhancement of Hyperspectral Images

Autor:	Altamiro Amadeu Susin, Cesar Albenes Zeferino, Wemerson Delcio Parreira, Felipe Viel
Rok vydání:	2021
Předmět:	Computer science Computer Science::Computer Vision and Pattern Recognition Process (computing) Hardware acceleration Hyperspectral imaging Electrical and Electronic Engineering Spectral resolution Geotechnical Engineering and Engineering Geology Image resolution Panchromatic film Remote sensing
Zdroj:	IEEE Geoscience and Remote Sensing Letters. 18:1796-1800
ISSN:	1558-0571 1545-598X
DOI:	10.1109/lgrs.2020.3009019
Popis:	Hyperspectral images (HSIs) are the images that have a high spectral resolution with hundreds of bands. HSIs are widely used in the precise identification and classification of the materials and surfaces. However, they have a low spatial resolution caused by the limited capacity of the sensors responsible for capturing the images. In view of this, the preprocessing techniques are used to increase the spatial resolution of the HSIs and enable greater precision in the subsequent processing stages. This letter presents the development of a hardware accelerator specially designed to process a pansharpening algorithm that fuses the hyperspectral and panchromatic images to produce a high spatial resolution HSI. The experimental results demonstrate that the processor is energy-efficient and can be used for onboard processing in a small spacecraft, such as the satellites.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::ee8fe82c06e7f6e90f1355bea9497327 https://doi.org/10.1109/lgrs.2020.3009019 Zobrazit plný text záznamu