A system to detect houses and residential street networks in multispectral satellite images
Computer Vision and Image Understanding
International Journal of Computer Vision
Semi-supervised Edge Learning for Building Detection in Aerial Images
ISVC '08 Proceedings of the 4th International Symposium on Advances in Visual Computing, Part II
Segmentation of Natural and Man-Made Structures by Independent Component Analysis
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
A system to detect houses and residential street networks in multispectral satellite images
Computer Vision and Image Understanding
Man-made structure detection in natural images using a causal multiscale random field
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
Probabilistic modeling for structural change inference
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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Traditionally, Markov random field (MRF) models have been used in low-level image analysis. The article presents an MRF-based scheme to perform object delineation. The proposed edge-based approach involves extracting straight lines from the edge map of an image. Then, an MRF model is used to group these lines to delineate buildings in aerial images