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This paper presents an experimental comparison of different approaches to learning from multi-labeled video data. We compare state-of-the-art multi-label learning methods on the Media mill Challenge dataset. We employ MPEG-7 and SIFT-based global image descriptors independently and in conjunction using variations of the stacking approach for their fusion. We evaluate the results comparing the different...
Because of the high data dimensionality of hyperspectral data, it is somehow difficult to directly apply hyperspectral images in classification and target detection. A fusion method of hyperspectral images based on feature images extraction and contourlet analysis is proposed. The algorithm firstly extracts feature images using subspace partition and principal components analysis (PCA), then these...
At present, the methods and research documents about monitoring mining area ecological environment using remote sensing data are not much mentioned. Remote sensing has the characteristics of multi-temporal, fast dynamic monitoring, and low cost. Either the research method and theory or the results have certain ecological significance and practical value. Especially the information extraction using...
High spatial resolution remote sensing image automatic registration is one critical technologies in the imagery processing such as image mosaic, change detection and image fusion. The matching methods based on local characteristics, which applied in high-resolution remote sensing image registration, has the advantages of expressing more local image details, more strong anti-interference capability...
The traditional Gabor transform need calculate convolution with whole image when extract expression feature. So, the feature dimensions are very large and computation complexity is very high. Though some improved methods can reduce the feature dimensions and computing cost by manually marking out the feature points, but those methods need intense human intervention and can not meet to the need of...
This paper proposes a Practical Application of 3D image reconstruction based on bitmap integration. First, the paper comparative analysis of image features about EPMA ; then access the Enhanced bitmap by information fusion and made a Digital Elevation Model (DEM) from bitmap feature Extraction and generating interactive 3D image of Sample's micro-surface. Experimental proof that the advantage of this...
An image fusion system using a fuzzy biorthogonal wavelet transform technique is proposed and justified in this paper. The basic fuzzy sets are defined on the low-high, high-low, and high-high spatial frequency bands at different scales of biorthogonal wavelet transform on the visible light images and infrared images. The simulation results demonstrate the effectiveness of the fusion scheme in this...
In this paper, a feature-level fusion approach for improving the efficiency of ear image verification is proposed. SIFT is used to extract the features on a ear images at different pose, which is then merged according to a fusion rule to produce a single feature called the fused template. The similarity of SIFT extracted features of the live image and the enrolled user template in the database is...
This paper proposes a novel image fusion method based on weighted non-negative matrix factorization (WNMF) and region segmentation. Firstly, visible and infrared images are endowed different weight, and are taken as original data in WNMF analysis, by which the feature image can be extracted. Then the target regions in infrared image are segmented by region growing method and are extracted, then the...
This paper presents a new hybrid image fusion scheme that combines features of pixel and region based fusion, to be integrated in a surveillance system. In such systems, objects can be extracted from the different set of images due to background availability, and transferred to the new composite image with no additional processing usually imposed by other fusion approaches. The background information...
Multi-spectral image keeps good multi-spectral feature in spite of its low special resolution, which canpsilat describe the earthpsilas surface information in detail. In contrast, panchromatic image keeps high special resolution but with limitations in spectral feature. The advantages of both multi-spectral image and panchromatic image can be integrated in the same image with fusion technique, so...
The traditional feature-based algorithm was found to be sensitive to rotations and scales. In this paper, an automatic image mosaic technique based on SIFT (Scale Invariant Feature Transform) was proposed by using the rotation and scale invariant property of SIFT. Keypoints are first extracted by searching over all scales and image locations, then the descriptors defined on the keypoint neighborhood...
As known, meteorological nephogram processing is very complicated due to complex environment, various sampling methods, and algorithm differences. For multi-resolution image data of nephogram, fusion is relatively useful; however, it is hard to simulate the human ability of image fusion. Based on review of researches on psychophysics and physiology of human vision, this paper presents an effective...
This contribution presents a fusion method for multivariate stereo and spectral series with the purpose of obtaining 3D information. The image series are gained using a camera array with spectral filters. In order to register them, features that are invariant with respect to the intensity values in the images are extracted. The fusion approach is region based and uses characteristics like their size,...
This paper presents an automatic and robust technique for creating seamless mosaics, relying only on a set of input multiple-view images with small overlaps, sparse features and repeated deceptive objects. We first extract keypoints and match them using the SIFT algorithm, which can generate large sets of corresponding keypoints from such images. This establishes a robust basis for a second-stage...
The wavelet transform has been a popular choice for the spatial transformation in the pan-sharpening process. However, the wavelet transform do not represent the directional information efficiently. On the other hand, the contourlet transform, which also has a property of multiresolution decomposition similar to the wavelet, is known to provide efficient directional information and is also useful...
The image fusion is an important approach to produce a single complete image which preserves all relevant information from different sensors. In this paper, we proposed a support value transform-based multi focus image fusion method, where the fused saliency features are represented by support values. Based on the mapped least squares support vector machine, the support value transform is developed...
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