Panchromatic image processing using hyperspectral unmixing method

In the paper, we consider the probability of applying hyper-spectral image (HSI) processing methods to panchromatic images (PIs), which is a novel yet crucial issue for further analyses. To achieve the purpose, we propose an effective approach for handling PI with HSI unmixing methods. In the approa...

Full description

Saved in:
Bibliographic Details
Published in2015 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) pp. 1777 - 1780
Main Authors Zhenyu An, Zhenwei Shi, Jun Wu, Hongqiang Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2015
Subjects
Algorithm design and analysis
hyperspectral image simulating
Hyperspectral imaging
hyperspectral unmixing
Marine vehicles
Object detection
Panchromatic image processing
Shape
target detection
Online AccessGet full text

Cover

More Information
Summary:In the paper, we consider the probability of applying hyper-spectral image (HSI) processing methods to panchromatic images (PIs), which is a novel yet crucial issue for further analyses. To achieve the purpose, we propose an effective approach for handling PI with HSI unmixing methods. In the approach, HSI simulating process is first implemented to obtain a synthetic HSI from PI. After that, a hyperspectral unmixing algorithm, vertex component analysis, is then applied to extract endmembers that comprise the vertices of the data simplex. Meanwhile, we calculate abundances of HSI by employing least squares method. We will see that the unmixing results, namely endmembers and abundances, can be used for target detection and other applications. Different objects such as ships and cars were successfully extracted from the backgrounds, which demonstrates the efficacy of the proposed approach.
ISSN:2153-6996
2153-7003
DOI:10.1109/IGARSS.2015.7326134