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This paper presents a method for ship detection using texture statistics from optical satellite images. The proposed method focuses on the extraction of ship candidates. First, a structural texture descriptor derived from local multiple patterns is introduced to describe image texture features, and then two statistical histograms are generated by quantizing texture features to describe the texture...
The classical mean-shift tracking algorithm is based on histogram of colors, which is vulnerable to light change. In order to overcome the drawback, we presents a new metric used for tracking. Firstly, we compute the curvature property of an image and choose scale through maximizing the second derivative in horizontal direction of points in the inner elliptical region on the target. Then we compute...
Human activities which are represented by human impact index in landslide susceptibility mapping have great impact on the landslide occurrences in urban areas, especially in those fast developing areas. It is important to study how to determine a reasonable human impact index based on available factors, such as buildings, roads, and land prices, to ensure that landslide susceptibility is accurately...
This paper presents an adaptive tracking algorithm by online features enhancement. To avoid the distraction of the similar background on tracker, Bayes decision rule is applied to calculate the posterior probability of every pixel belonging to the object and generate a set of candidate confidence maps according to the conditional sample densities from object and background on different features. We...
A novel approach for matching points from two views in a camera-calibrated system is presented in this paper. The interest points are selected using epipolar gradient features. Then three local region invariant descriptors, together with similarity measures are proposed. These descriptors are constructed from binary-threshold gray histogram, sample statistics of the edge pointspsila epipolar gradients,...
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