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Since news videos are valuable sources of multimedia information on real-world events, there is a demand for viewing them efficiently. However, there is a problem that summarization methods based on auditory contents do not take into account the visual contents. In the case of news videos, due to its presentation style where audio contents and visual contents do not necessarily come from the same...
In this paper, we propose a self-learning approach for remote sensing image classification. The main work of this paper aims at providing a new framework of semisupervised learning technique for multiple-source synergetic classification, thereby improving the classification accuracy under the condition of small samples. Considering the high spectral resolution of a hyperspectral (HS) image and the...
This paper introduces a novel multi-layer line grouping method for perceptually building extraction from stereo aerial images. Nowadays, perceptual grouping algorithm for line features obtained from images has been widely investigated, but there are little attentions to be paid to building height information of the line segments applied in existing literature of edge grouping field. In order to enhance...
An algorithm for automatic recognition of overwater bridge target based on “joint feather and knowledge rule-based” is presented for the problem concerning automatic recognition of overwater bridge target in optical remote sensing images. Firstly, based on knowledge feathers of overwater bridge target, waters in an optical remote sensing image are extracted to narrow down bridge detection range. After...
Texture segmentation is a critical step in building-based analysis in urban remote sensing images to obtain more detail information for further applications. Most existing segmentation algorithms rely on region or edge information to segment, which failed to segment building surfaces with almost same texture and unclear edge between the surfaces. Therefore, in order to solve this challenging task,...
This paper presents a feature guided multi-window area-based matching method for urban remote sensing stereo pairs. The method achieves the goal that producing dense disparity maps for urban remote sensing stereo pairs. The proposed method can be divided into four stages: feature-based matching, edge support region extraction, area-based matching and post-processing. The point feature matching is...
In recent years, remote sensing images with high resolution are increasingly applied in change detection and disaster assessment. Compared with the traditional pixel-based methods, object-oriented image processing techniques have attracted more attention for high resolution images. In this paper, we aim to research the object-oriented change detection for urban area. A new multi-scale segmentation...
infrared image pattern recognition system consists of image enhancement, segmentation and pattern classification. Image segmentation is realized through Threshold Segmentation. Generally speaking, there are several methods of threshold segmentation such as double-hump method, iterated method and maximum entropy method and the otsu method and so on. These segmentation methods are used for the automatic...
Hyperspectral image provides rich information of ground covers, which has been brought great attention. Combining hyperspectral spatial and spectral constraint, an image segmentation method based on region active contour is proposed in this paper. The energy function in Chan-Vese's method is improved and both spatial and spectral information are employed. Spatial term of the function is restricted...
Image segmentation is the first essential and important step of low level vision. This paper proposes a novel algorithm for adaptive image segmentation, based on thresholding technique and segments merging according to their characteristics combine with spatial position. Our earlier work of getting the entire information of the histogram could help choose the multiple thresholds. However, not all...
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