27 June 2017 Urban new construction land parcel detection with normalized difference vegetation index and PanTex information
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Abstract
An urban new construction land parcel detection method based on normalized difference vegetation index (NDVI) and built-up area presence index is proposed for high-resolution remote sensing images. The method consists of three main steps: construction land detection using NDVI and PanTex, false change removal, and new construction land parcel extraction. More specifically, a change proportion index is raised to convert the pixel-based change detection map to parcels in combination with a segmentation process. From experimental results validated using two cases of high-resolution optical satellite images, the proposed method is demonstrated to be efficient and achieves a per-object overall accuracy rate beyond 95%, significantly superior to the traditional postclassification change detection method. Furthermore, the proposed method avoids errors resulting from classification in the method of postclassification comparison.
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE) 1931-3195/2017/$25.00 © 2017 SPIE
Qingqing Huang, Chengyi Wang, Yu Meng, Anzhi Yue, Jingbo Chen, and Yuan Yuan "Urban new construction land parcel detection with normalized difference vegetation index and PanTex information," Journal of Applied Remote Sensing 11(2), 026039 (27 June 2017). https://doi.org/10.1117/1.JRS.11.026039
Received: 31 January 2017; Accepted: 1 June 2017; Published: 27 June 2017
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Cited by 1 scholarly publication.
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KEYWORDS
Vegetation

Earth observing sensors

Error analysis

Image segmentation

Remote sensing

Satellite imaging

Satellites

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