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With the development of remote sensing technology, the source of data is getting more abundant and the resolution is becoming higher. Consequently, conventional change detection method can't meet the application requirements any more. In this paper, an object-oriented change detection method for multisource remote sensing images using multi-feature fusion was proposed to solve this problem. On the...
Image segmentation method combined with Markov random field (MRF) model and regional growth image in this paper is proposed to achieve the accuracy of sonar image segmentation. First of all, the characteristics of field and the label field of sonar image is established through the MRF model; secondly, the further image segmentation is processed by region growing based on the initial image segmentation...
Coastline extraction from remote sensing images has become an indispensable means in island coastal remote sensing survey, which plays a very important role in automatic navigation, targeting and mapping work. Image segmentation and boundary extraction are important ways to obtain the position of coastline. And active contour model has become an important tool for image segmentation and boundary extraction...
This paper proposes a method for calculating exterior orientation parameters (EOPs) of images based on the condition that the straight line in the image space and corresponding line in the object space are coplanar. Experimental results have proved the feasibility and validity of this method, and the accuracy of EOPs is within one pixel and similar to that of point-based method. The position and direction...
This paper expatiates on the improved fuzzy c-means (FCM) clustering algorithm. In the algorithm, the membership values are determined via the improved method, and the number of the centers of FCM clustering are determined via the number of the peaks of the two-dimensional histogram on the gray-level values of pixels and gradient values of pixel neighborhoods. The application to segmentation of a...
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