Comparison of Target Detection Performance for Radiance and Reflectance Domain in VNIR Hyperspectral Images

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Date

2019

Authors

Güneş, Ahmet
Gunes,A.
Esin,Y.E.
Demirel,B.
Ozturk,S.

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Institute of Electrical and Electronics Engineers Inc.

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Department of Mechatronics Engineering
Our purpose in the program is to educate our students for contributing to universal knowledge by doing research on contemporary mechatronics engineering problems and provide them with design, production and publication skills. To reach this goal our post graduate students are offered courses in various areas of mechatronics engineering, encouraged to do research to develop their expertise and their creative side, as well as develop analysis and design skills.

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Abstract

In this paper, the hyperspectral detection of targets in visible-near infrared (VNIR) images is studied. The change of radiance domain signatures in images taken in different locations, time and altitudes are analyzed. A new radiance domain detection scheme for VNIR images under 1000 m altitude is proposed. The analysis shows that the radiance domain signatures of each target, that are collected from an image taken at 10 m altitude, can be effectively used for pure pixel target detection in other VNIR images taken at altitudes between 10 - 1000 m. The proposed approach is tested using several target types and on images taken at different altitudes and environmental conditions. Our results show that target detection in radiance domain provides a cheaper, easier and effective alternative to reflectance domain, in VNIR images. © 2019 IEEE.

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The Institute of Electrical and Electronics Engineers, Geoscience and Remote Sensing Society (GRSS)

Keywords

Hyperspectral image processing, pure pixel., radiance domain, reflectance domain, target detection

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1

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International Geoscience and Remote Sensing Symposium (IGARSS) -- 39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 -- 28 July 2019 through 2 August 2019 -- Yokohama -- 154792

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2186

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2189

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