Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/70166
Title: A Novel Hyperspectral Target Detection Algorithm for Real-Time Applications with Push-Broom Scanners
Authors: Diaz, Maria
Guerra, Raul 
Lopez, Sebastian 
Keywords: Hyperspectral Imaging
Orthogonalization
Push-Broom Sensor
Real-Time Applications
Target Detection
Issue Date: 2019
Journal: Workshop On Hyperspectral Image And Signal Processing, Evolution In Remote Sensing
Abstract: © 2019 IEEE. In this paper, we propose a novel method for the detection of desired targets in hyperspectral images which has been specially designed for being easily parallelizable in hardware devices for applications under real-time constraints, specially those which involve push-broom scanners. Concretely, the proposed methodology independently processes blocks of pixels as soon as they are sensed, reducing the amount of data to be stored and processed on-board and hence, speeding-up the executed process and fulfilling the causality requirements imposed by line-by-line applications. Based on a modified version of the well-known Gram-Schmidt orthogonalization method, our proposal selects a set of undesired signatures in order to later identify those spectral wavelengths which better distinguish the desired target to be detected from other entities present in the scene. With it, we achieve to perform a dimensional reduction strategy which compresses the acquired image onto a lower-dimensional feature space that maximizes the difference between both desired and undesired targets. We have applied the proposed methodology to two real hyperspectral images. The results obtained support the benefits of our proposal, being able to detect targets regardless of the amount of area covered by them.
URI: http://hdl.handle.net/10553/70166
ISBN: 9781728152943
ISSN: 2158-6276
DOI: 10.1109/WHISPERS.2019.8920959
Source: Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing[ISSN 2158-6276],v. 2019-September
Appears in Collections:Actas de congresos
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