Title :
Classification performance of reduced color band hyperspectral imagery from JPEG2000 decompressed data
Author :
Garces, Maximiliano ; Usevitch, Bryan E.
Author_Institution :
Univ. of Texas at El Paso, TX, USA
Abstract :
This paper presents a study of the impact of the compression of a hyperspectral image (HSI) using the JPEG2000 standard. The impact measure was the accuracy of the classification. The goal of this study is to present an approach that proposes to reduce the computational and memory costs of processing this type of data. The results presented show a savings of storage and savings in the computational time by decompressing only a small portion of the color-bands.
Keywords :
image classification; image coding; image colour analysis; principal component analysis; HSI compression; JPEG2000 decompressed data; PCA transform; color band transformation; color-band decompression; computational time reduction; hyperspectral imagery classification accuracy; reduced color band hyperspectral images; spectral signature; storage requirements reduction; Computational efficiency; Electromagnetic analysis; Hyperspectral imaging; Hyperspectral sensors; Image coding; Image storage; Infrared sensors; Object detection; Principal component analysis; Transform coding;
Conference_Titel :
Digital Signal Processing Workshop, 2004 and the 3rd IEEE Signal Processing Education Workshop. 2004 IEEE 11th
Print_ISBN :
0-7803-8434-2
DOI :
10.1109/DSPWS.2004.1437924
