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IBPRIA
2009
Springer

Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation

9 years 7 months ago
Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation
A multi-spectral texture characterisation model is proposed, the Multi-spectral Local Differences Texem – MLDT, as an affordable approach to be used in multi-spectral images that may contain large number of bands. The MLDT is based on the Texem model. Using an inter-scale post-fusion strategy for image segmentation, framed in a multi-resolution approach, we produce unsupervised multi-spectral image segmentations. Preliminary results on several remote sensing multi-spectral images exhibit a promising performance by the MLDT approach, with further improvements possible to model more complex textures and add some other features, like invariance to spectral intensity.
Filiberto Pla, Gema Gracia, Pedro García-Se
Added 25 Jul 2010
Updated 25 Jul 2010
Type Conference
Year 2009
Where IBPRIA
Authors Filiberto Pla, Gema Gracia, Pedro García-Sevilla, Majid Mirmehdi, Xianghua Xie
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