NDLI: A comparison of hyperspectral data and worldview-2 images to detect impervious surface

Content Provider	IEEE Xplore Digital Library
Author	Taherzadeh, E. Shafri, H.Z.M. Mansor, S. Ashurov, R.
Copyright Year	2012
Description	Author affiliation: Inst. of Adv. Technol. (ITMA), Univ. Putra Malaysia (UPM), Serdang, Malaysia (Taherzadeh, E.; Shafri, H.Z.M.; Mansor, S.; Ashurov, R.)
Abstract	Detection and mapping the impervious surface accurately is one of the important tasks in urban remote sensing. In this study, airborne hyperspectral data and Worldview-2 image were used to classify urban area .The main goal of this study are to compare the hyperspectral data and worldview 2 images and shows the potential of worldview 2 images for detection the impervious surface from the same area. Support vector machine was used as the classification method in both images. The result shows that the hyperspectral data is more accurate for detection of the materials in urban area especially roof type. The overall accuracy is 78% with 0.72 Kappa coefficients but on the other hand the overall accuracy of worldview 2 image is 72% with 0.65 Kappa coefficients. Thus finally based on the result the airborne hyperspectral data is more suitable for detecting the impervious surface in more detail but still there are some limitations. Furthermore the worldview 2 image shows good potential for detection the impervious surface in detail.
Starting Page	1
Ending Page	4
File Size	1925005
Page Count	4
File Format	PDF
e-ISBN	9781479934065
DOI	10.1109/WHISPERS.2012.6874305
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image resolution Impervious surface Surface contamination Hyperspectral Classification Worldview-2 Educational institutions Vectors Urban remote sensing Zinc Surface treatment Hyperspectral imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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