Object recognition in urban hyperspectral images using binary partition tree representation
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
In this work, an image representation based on Binary Partition Tree is proposed for object detection in hyperspectral images. The BPT representation defines a search space for constructing a robust object identification scheme. Spatial and spectral information are integrated in order to analyze hyperspectral images with a region-based perspective. Experimental results demonstrate the good performances of this BPT-based approach.
CitationValero, S.; Salembier, P.; Chanussot, J. Object recognition in urban hyperspectral images using binary partition tree representation. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2012: International Geoscience and Remote Sensing Symposium: remote science for a dynamic earth: proceedings, 22-27 July 2012 Munich". Munich: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 4098-4101.
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