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The study chooses the standard stripe and dual polarization SAR images of GF-3 as the basic data. Residential areas extraction processes and methods based upon GF-3 images texture segmentation are com...
Castellated walls are positioned as tangible cultural heritage, which require regular maintenance to preserve their original state. For the demolition and repair work of the castellated wall, it is ne...
The fusion of synthetic aperture radar (SAR) and optical data is a dynamic research area, but image segmentation is rarely treated. While a few studies use low-resolution nadir-view optical images, we...
Recently, high resolution remote sensing image segmentation is a hot issue in image procesing procedures. However, it is a difficult task. The difficulties derive from the uncertainties of pixel segme...
different classes, to estimate the number of classes in image segmentation issues. In this strategy, the information of a homogeneous region is measured by entropy. Then a region is considered to be d...
From the last decade, the multi-scale image segmentation is getting a particular interest and practically being used for object-based image analysis. In this study, we have addressed the issues on mul...
Using artificial neural network, a synthetical image derived from light and ranging data was segmented based on the height texture and intensity texture measure. Focusing on a coastal area near ZhuHai...
Image segmentation is one of the most important methods for extracting information of interest from remote sensing image data, but it still remains some problems, leading to low quality segmentation. ...
Last years witnessed the growth of demand for road monitoring systems based on image or video analysis. These systems usually consist of a survey vehicle equipped with photo and video cameras, laser...
In geographic object-based image analysis (GEOBIA) segmentation plays a key role since all consequent classification steps depend on its quality. For evaluating the quality empirical discrepancy and ...
Interactive segmentation, in which a user provides a bounding box to an object of interest for image segmenta-tion, has been applied to a variety of applications in im-age editing, crowdsourcing, comp...
The focus of this paper is on the segmentation algorithm for the high resolution multispectral imagery to get regions which are roughly corresponding to land cover types. We propose the combination of...
Nowadays object oriented image analysis becomes a hot issue in the field of image processing and interpretation because of its more robust noise removing ability, more abundant image features and expe...
Traditional approaches to accuracy assessment are inadequate for object oriented image processing. We tested some measures to assess the accuracy of object based image segmentation in a supervised con...
Image segmentation is a valuable approach that performs an object-based rather than a pixel-based analysis of high-spatial resolution satellite image. A multiscale approach for segmenting the pan-shar...

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