Special Section on Airborne Hyperspectral Remote Sensing of Urban Environments

New normalized difference index for built-up land enhancement using airborne visible infrared imaging spectrometer imagery

[+] Author Affiliations
Xiaoyi Liu

Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, North No. 20 Datun Road, Chaoyang District, Beijing 100101, China

Yu Meng

Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, North No. 20 Datun Road, Chaoyang District, Beijing 100101, China

Anzhi Yue

Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, North No. 20 Datun Road, Chaoyang District, Beijing 100101, China

Jingbo Chen

Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, North No. 20 Datun Road, Chaoyang District, Beijing 100101, China

Qingqing Huang

Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, North No. 20 Datun Road, Chaoyang District, Beijing 100101, China

J. Appl. Remote Sens. 8(1), 085092 (Aug 19, 2014). doi:10.1117/1.JRS.8.085092
History: Received March 29, 2014; Revised June 29, 2014; Accepted July 28, 2014
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Abstract.  In remote sensing imagery, various normalized difference indices are widely used for land cover mapping. Each index has its targeting cover type with a specialized data source. However, these indices are generally only studied in multispectral data. Hyperspectral images have become increasingly attractive due to their richness of spectrum information. A new index, i.e., Normalized Difference Built-up Index for Hyperspectral data (NDBIh), oriented to built-up land enhancement in hyperspectral remote sensing data is proposed. Spectral response curves of different cover types and possible calculation equations for NDBIh are obtained first. The equation having the best ability to differentiate built-up land from other areas is referred to as NDBIh. To evaluate the ability of our NDBIh, two other built-up indices, the conventional Normalized Difference Built-Up Index (NDBI) and the Index-based Built-Up Index (IBI), are compared with NDBIh both qualitatively and quantitatively. Experiments on airborne visible infrared imaging spectrometer data indicate that the NDBIh outperforms NDBI and IBI in identifying built-up land.

© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Xiaoyi Liu ; Yu Meng ; Anzhi Yue ; Jingbo Chen and Qingqing Huang
"New normalized difference index for built-up land enhancement using airborne visible infrared imaging spectrometer imagery", J. Appl. Remote Sens. 8(1), 085092 (Aug 19, 2014). ; http://dx.doi.org/10.1117/1.JRS.8.085092


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