Title :
Recursive Texture Fragmentation and Reconstruction segmentation algorithm applied to VHR images
Author :
Gaetano, Raffaele ; Scarpa, Giuseppe ; Poggi, Giovanni
Author_Institution :
Dept. of Biomed., Electron. & Telecommun. Eng., Univ. Federico II of Naples, Naples, Italy
Abstract :
The Texture Fragmentation and Reconstruction (TFR) algorithm, recently proposed for the segmentation of textured images, has been applied with promising results to high-resolution remote-sensing images. The algorithm provides a sequence of nested segmentation maps which allow the analysis at various scales of observation. However, the performance which is very good at large scales, with complex semantic areas retrieved with remarkable accuracy, becomes less satisfactory at finer scales. In this paper we propose to use the TFR in a recursive fashion, segmenting the image in just two regions, initially, with each region further segmented only if relevant subregions emerge. The recursive TFR allows one to better adapt to local statistics and to extract significant textures also at finer scales. Early experimental results validate the effectiveness of the new algorithm.
Keywords :
geophysical image processing; image reconstruction; image segmentation; image texture; remote sensing; TFR algorithm; VHR images; high-resolution remote-sensing images; reconstruction segmentation algorithm; recursive texture fragmentation; textured image segmentation; Algorithm design and analysis; Image reconstruction; Image resolution; Image segmentation; Large-scale systems; Merging; Pixel; Remote sensing; Urban areas; Vegetation mapping; Remote-sensing images; hierarchical models; segmentation; texture;
Conference_Titel :
Geoscience and Remote Sensing Symposium,2009 IEEE International,IGARSS 2009
Conference_Location :
Cape Town
Print_ISBN :
978-1-4244-3394-0
Electronic_ISBN :
978-1-4244-3395-7
DOI :
10.1109/IGARSS.2009.5417364