Fuzzy sets, uncertainty, and information
Fuzzy sets, uncertainty, and information
Detecting buildings in aerial images
Computer Vision, Graphics, and Image Processing
Use of shadows for extracting buildings in aerial images
Computer Vision, Graphics, and Image Processing
Automatic object extraction from aerial imagery—a survey focusing on buildings
Computer Vision and Image Understanding
Automatic Extraction of Man-Made Objects from Aerial and Space Images
Automatic Extraction of Man-Made Objects from Aerial and Space Images
Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
Automatic Extraction of Man-Made Objects from Aerial and Space Images (II)
Rectangular discrete radon transform for buildings extraction from high resolution satellite images
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
Extracting buildings by using the generalized multi directional discrete radon transform
ICISP'12 Proceedings of the 5th international conference on Image and Signal Processing
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The extent and rapidity of the urban growth induce a number of socio-economic and environmental conflicts everywhere. In order to reduce these problems, urban planners need to integrate spatial information in planning tools. High expectations are placed on very-high-spatial-resolution (VHSR) imagery. However, conventional interpretation methods do not seem to be adapted to this new type of images. The aim of our study is to develop a new approach for semi-automatic building identification, more specifically to individual housing, from VHSR images. The proposed methodology has been applied to Ikonos and Quickbird images in urban areas. Results show the capacity of our method for building identification, in spite of some limitations.