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http://dx.doi.org/10.7780/kjrs.2013.29.2.1

Construction and Data Analysis of Test-bed by Hyperspectral Airborne Remote Sensing  

Chang, Anjin (Department of Civil & Environmental Engineering, Seoul National University)
Kim, Yongil (Department of Civil & Environmental Engineering, Seoul National University)
Choi, Seokkeun (School of Civil Engineering, Chungbuk National University)
Han, Dongyeob (Department of Marine and Civil Engineering, Chonnam National University)
Choi, Jaewan (School of Civil Engineering, Chungbuk National University)
Kim, Yongmin (Department of Civil & Environmental Engineering, Seoul National University)
Han, Youkyung (Department of Civil & Environmental Engineering, Seoul National University)
Park, Honglyun (School of Civil Engineering, Chungbuk National University)
Wang, Biao (School of Civil Engineering, Chungbuk National University)
Lim, Heechang (School of Civil Engineering, Chungbuk National University)
Publication Information
Korean Journal of Remote Sensing / v.29, no.2, 2013 , pp. 161-172 More about this Journal
Abstract
The construction of hyperspectral test-bed dataset is essential for the effective performance of hyperspectral image for various applications. In this study, we analyzed the technical points for generating of optimal hyperspectral test-bed site for hyperspectral sensors and the efficiency of hyperspectral test-bed site. In this regard regions we analyzed existing construction techniques for generating test-bed site in domestic and foreign, and designed the test-bed site to acquire images from the airborne hyperspectral sensor. To produce a reference data from the image of constructed test-bed site, this study applied vicarious correction as a pre-processing and analyzed its efficiency. The result presented that it was ideal to use tarp for the vicarious correction, but it is possible to use the materials with constant spectral reflectance or with relatively low variance of spectral reflectance. The test-bed data taken in this study can be employed as the reference of domestic and foreign studies for hyperspectral image processing.
Keywords
Airborne hyperspectral sensor; Calibration; Linear spectral mixture model; Reference data; Test-bed data;
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Times Cited By KSCI : 10  (Citation Analysis)
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