Building extraction using airborne LiDAR data and very high resolution imagery over a complex urban area
WANG Xue1, LI Peijun2, JIANG Shasha3, LIU Jing4, SONG Benqin5
1. Department of Geography and Resource Management, The Chinese University of Hong Kong, Hong Kong 999077, China;
2. Institute of Remote Sensing and GIS, School of Earth and Space Sciences, Peking University, Beijing 100871, China;
3. Engineering Science Program, Louisiana State University, Los Angeles 70803, USA;
4. Faculty of Geo-information Science and Earth Observation of Twente University, Enschede 7500 AE, the Netherlands;
5. China Academy of Electronics and Information Technology, Beijing 100041, China.
The occurrence of shadow and diverse building roofs in complex urban areas makes it difficult to extract building automatically using very high resolution (VHR) imagery over these areas. In order to solve these two problems, this paper proposed a novel method for building extraction using airborne LiDAR data and VHR imagery. The buildings were initially extracted by thresholding the normalized difference vegetation index (NDVI) image and LiDAR height data. The initially obtained result was then refined by using NDVI image over shadow areas, image texture and morphological filtering. The proposed method was quantitatively evaluated and compared with existing methods using airborne LiDAR data and QuickBird image of Nanjing City, China. The results indicated that the proposed method effectively reduced the extraction errors caused by shadow and diverse building roof and significantly improved the accuracy of building extraction.
王雪, 李培军, 姜莎莎, 刘婧, 宋本钦. 利用机载LiDAR数据和高分辨率图像提取复杂城区建筑物[J]. 国土资源遥感, 2016, 28(2): 106-111.
WANG Xue, LI Peijun, JIANG Shasha, LIU Jing, SONG Benqin. Building extraction using airborne LiDAR data and very high resolution imagery over a complex urban area. REMOTE SENSING FOR LAND & RESOURCES, 2016, 28(2): 106-111.
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2016, Vol. 28 
