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This paper focuses on slope unit derivation from DEM by object-based image analysis. A landform classification system consisting of ridge, valley, slope unit, and flat terrain classes is firstly constructed considering the detailed characteristics of slope unit. Based on the classification system, a procedure for slope unit derivation from DEM, which takes into consideration the topographic factors...
This paper presents a framework for human-computer interaction (HCI)-based geological interpretation of remote sensing images in circumstance of cooperative work. Since image interpretation application tasks often turn out to be a heavy workload, timely, tight, and quality demanding, it is too overwhelming for the conventional work mode which typically involves single interpreter and isolated computers...
In order to improve the efficiency of bridge crack detection, research of crack detection method based on image processing is conducted in this paper. Basic characteristics of bridge cracks image are illustrated, theory of crack detection based on image processing is applied to the original image pretreatment. This paper focuses on using gray threshold iteration method and canny iteration method to...
SAR has the advantage of all-time all-whether for the earth observation, the water and land boundary is obvious in the SAR images, and it is not affected by night and fog and which has the penetrating ability for the cloud interference during the flood period. So SAR has broad application prospects in the flood disaster assessment. Comparing with the world's leading space-borne radar system, ENVISAT/ASAR...
Automatic ship detection from remote sensing imagery has many applications, such as maritime security, traffic surveillance, fisheries management. However, it is still a difficult task for noise and distractors. This paper is concerned with perceptual organization, which detect salient convex structures of ships from noisy images. Because the line segments of contour of ships compose a convex set,...
Robust foreground segmentation is an essential step in many computer vision applications such as visual surveillance and behavior analysis. This paper proposes a subspace based background modeling and foreground segmentation algorithm, which improves the incremental background subspace learning in a robust manner. It can efficiently reduce the influence of the foreground pixels which are undesired...
The automatic and accurate segmentation of 3-D dental model digitized through intra or extra oral measurement methods is an important step in computer aided orthodontic system. This paper presents a robust segmentation method based on the bio-information of individual's teeth with little manual interaction. The discrete curvature of the dental model is first computed; using the computed discrete curvature...
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