TY - GEN
T1 - A roof-contour guided multi-side interpolation method for building texture-mapping using remote sensing resource
AU - Yan, Yiming
AU - Chen, Xi
AU - Gao, Fengjiao
AU - Zhang, Ye
AU - Shen, Yi
AU - Su, Nan
AU - Tian, Shu
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/11/10
Y1 - 2015/11/10
N2 - In this paper, we proposed a novel texture-mapping method for buildings using remote sensing images and digital surface model. For generating better 3D map, boring manually or semi-automatic texture-mapping of buildings is always needed. However, only with remote sensing images and digital surface model, it is difficult to generate 'sides' of buildings, and corresponding relation between triangular mesh and texture image is also hard to be found. Inspired by building extraction result, we found that roof-contour could guide interpolation of 'sides' of building, and generate triangular mesh, and an interactive frame of texture mapping is introduced for processing the generated multi-sides and corresponding texture-images of buildings. Experiments show that texture-mapping of buildings using remote sensing resource is easily realized with our frame, and excellent results could be obtained.
AB - In this paper, we proposed a novel texture-mapping method for buildings using remote sensing images and digital surface model. For generating better 3D map, boring manually or semi-automatic texture-mapping of buildings is always needed. However, only with remote sensing images and digital surface model, it is difficult to generate 'sides' of buildings, and corresponding relation between triangular mesh and texture image is also hard to be found. Inspired by building extraction result, we found that roof-contour could guide interpolation of 'sides' of building, and generate triangular mesh, and an interactive frame of texture mapping is introduced for processing the generated multi-sides and corresponding texture-images of buildings. Experiments show that texture-mapping of buildings using remote sensing resource is easily realized with our frame, and excellent results could be obtained.
KW - Building reconstruction
KW - digital surface model
KW - multi-side interpolation
KW - remote sensing
KW - texture mapping
UR - https://www.scopus.com/pages/publications/84962557053
U2 - 10.1109/IGARSS.2015.7326446
DO - 10.1109/IGARSS.2015.7326446
M3 - 会议稿件
AN - SCOPUS:84962557053
T3 - International Geoscience and Remote Sensing Symposium (IGARSS)
SP - 2998
EP - 3001
BT - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2015 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2015
Y2 - 26 July 2015 through 31 July 2015
ER -