Title :
Fuzzy connectedness road extraction from high resolution remote sensing image based on GMM-MRF
Author :
Juan Yang ; Leyuan Fang
Author_Institution :
Coll. of Electr. & Inf. Eng., Hunan Univ., Changsha, China
Abstract :
This paper presents a novel method for extracting road from high resolution remote sensing image based on Gaussian mixture model and Markov random field (GMM-MRF) model optimized by the iterated conditional model (ICM). In this paper, we first divide remote sensing image into 3 classes by GMM-MRF texture segmentation model, and then extract road by fuzzy connectedness. Finally, we use shape features and mathematical morphology to do the post-processing to remove false alarm area. Since fuzzy connectedness lacks regional structure factors, it can not accurately describe the pixel similarity. By introducing image texture feature to the concept of fuzzy connectedness, we can establish texture fuzzy connectedness concept to make it more accurate description of the degree of association among pixels, which reflects the characteristics of the local and regional pixel similarity. Besides, our method choose only one road seed point and can achieve better road extraction effectiveness than fuzzy connectedness without using segmentation algorithms, which usually needs more than 15 seed points. Experiments show that the proposed method can effectively eliminate the non-road areas that whose characteristics are similar to road, and it can obtain better performance for road extraction from high resolution remote sensing image compared with fuzzy c-means and mathematical morphology.
Keywords :
Gaussian processes; Markov processes; feature extraction; fuzzy set theory; geophysical image processing; image resolution; image segmentation; image texture; iterative methods; mathematical morphology; mixture models; random processes; remote sensing; shape recognition; GMM-MRF texture segmentation model; Gaussian mixture model; ICM; Markov random field; high resolution remote sensing image; image texture feature; iterated conditional model; local pixel similarity; mathematical morphology; regional pixel similarity; regional structure factors; road extraction; road seed point; shape features; texture fuzzy connectedness; Feature extraction; Image segmentation; Mathematical model; Morphology; Remote sensing; Roads; Shape; Gaussian mixture model (GMM); K-Means; Markov random field (MRF); iterated conditional model (ICM); road extraction;
Conference_Titel :
Chinese Automation Congress (CAC), 2013
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-0332-0
DOI :
10.1109/CAC.2013.6775786