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BAND REDUCTION FOR TARGET DETECTION IN HYPERSPECTRAL IMAGES
2020
Journal:  
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
Author:  
DOI:  
10.33769/aupse.676083
Abstract:

Due to the high spectral resolution, hyperspectral images need large data storage and processing time. Indeed, its high dimensional structure requires high computational complexity, especially for target detection. In order to overcome these problems, band reduction methods have been proposed. In this paper, we compare PCA and SNR-based band reduction methods to improve target detection performance in hyperspectral images. Experimental results show that band reduction methods not only reduce processing time, but also increase accuracy rate.

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2020
Journal:  
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering
Author:  
DOI:  
10.33769/aupse.676083
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Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering

Field :   Mühendislik

Journal Type :   Ulusal

Metrics
Article : 104
Cite : 31
2023 Impact : 0.1
Details
Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering