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Range and angle measurement errors may be correlated when centroid image processing is applied on radar images of extended targets. This paper describes how a model of the correlation between target heading and measurement error can be used to improve the accuracy of tracking filters. The performance of the presented tracking algorithms is tested using a trajectory generator based on jump Markov nonlinear...
Recent developments in image fusion have produced a variety of approaches like image overlay, image sharpening, and image cueing through pixel, feature, or region/shape combinations. The applicability of these approaches and techniques differ on the image content, contextual information, and generalized metrics of image fusion gain. An image fusion gain can be assessed relative to information gain...
Two strategies for fusing information from multiple sources when generating predictive models in the domain of pesticide classification are investigated: i) fusing different sets of features (molecular descriptors) before building a model and ii) fusing the classifiers built from the individual descriptor sets. An empirical investigation demonstrates that the choice of strategy can have a significant...
A new method for multimodal image fusion, based on statistical modelling of wavelet coefficients, is proposed in this paper. The algorithm draws from the weighted average scheme, but incorporates Laplacian bivariate parent-child statistical dependencies. The interscale dependency is brought in the form of shrinkage functions. The proposed method has been shown to perform very well with noisy datasets,...
The fundamental point of this paper is that the fusion of several simple, somewhat unreliable, and somewhat inefficient frontal face detectors results in an efficient and reliable frontal face detector which, without any training, performs similarly to a state-of-the-art neural network based face detector trained on 60,000 images. The simple detectors used include a skin detector, symmetry detectors,...
Multimedia documents are increasingly numerous. Their efficient management requires tools to provide services that measure up to users' expectations, based on the contents of these voluminous document databases. This implies a number of challenges. Although we can extract highly symbolic concepts from texts, a wide semantic gap appears when processing images and sound. Thus, we propose using data...
This paper proposes an automatic semantic video content indexing and retrieval system based on fusing various low level visual and shape descriptors. Extracted features from region and sub-image blocks segmentation of video shots key-frames are described via IVSM signature (Image Vector Space Model) in order to have a compact and efficient description of the content. Static feature fusion based on...
This paper deals with the problem of objective evaluation of dynamic, multi-sensor image fusion. For this purpose an established static image fusion evaluation framework, based on gradient information preservation between the inputs and the fused image, is extended to deal with additional scene and object motion information present in multi-sensor sequences. In particular formulations for dynamic,...
Shape-based image retrieval techniques are among the most successful content-based image retrieval (CBIR) approaches. In recent years, the number of shape-based image retrieval techniques has dramatically increased; however, each technique has both advantages and shortcomings. This paper proposes a consensus-based fusion algorithm to integrate several shape-based image retrieval techniques so as to...
Hyperspectral imaging is becoming increasingly important in a variety of applications. These images contain a large number of contiguous bands to provide information at a fine spectral resolution and, therefore, cannot be displayed directly using an RGB color display. There has been some recent work on the problem of fusing hyperspectral images to three-band images for color display purposes. In this...
This paper deals with a cooperative fusion system parameter adjustment based on an evaluation quality of the fusion system output. The concerned application is an electro- technical part quality evaluation in which geophysicists need time and experience to analyze the 3D tomography of the parts. To help them in their task, a fusion system was designed to aggregate some measurements extracted from...
A dynamic image fusion scheme for infrared and visible sequence based on region target detection is proposed in this paper. Target detection technique is employed to segment the source images into target and background regions. Different fusion rules are adopted respectively in target and background regions. A limitedly redundant discrete wavelet transform (LR DWT) method is introduced to achieve...
We seek to establish a quality metric for sensor fused video based on the performance of a multisensor system that actively tracks multiple surface targets over an extended field of regard Such a system must, in real-time, fuse multisensor/spectral imagery, detect targets reliably, track the targets for extended time periods as they move, stop, approach, cross, hide/emerge, over an extended field...
We describe data fusion technology relevant to two applications of potential benefit to the Canadian army. The first application is a local situational awareness system (LSAS) while the second is a versatile surveillance platform. The LSAS improves an armored vehicle crew's ability to recognize and locate threats and hazards without leaving the relative safety of their vehicle. It is designed primarily...
We propose a hybrid method of seeded region growing and region hue-area information fusion for object segmentation under patterned background. At first, image is segmented into many small regions according to hue homogeneity by seeded region growing algorithm, then background texture mode is discovered by the regions' hue-area information fusion, finally, the background texture is removed according...
In this paper, several classification methods are presented and a fusion structure is included to improve the final classification performance. The definition of "layer" and the method to create it are then introduced. Based on "layer", a multiple level change detection algorithm is proposed, which gives the details of the changes in each region and is demonstrated to be an easy,...
The simultaneous exploitation of multi- sensor imagery for geospatial intelligence applications is a challenging problem, and Image Analysts would benefit from tools that introduce automation and fusion into the exploitation process in a suitable manner. These tools should take advantage of the human cognitive ability to fuse and assimilate multiple sources and types of information; image fusion tools...
This paper presents a methodology and supporting fusion algorithm for efficient, sequential, and optimal generation of a ground control network from image block adjustments over an area of interest. Image blocks contain overlapping images (ground footprints) generated from airborne and space-borne sensors, and measurements of ground points in those images. Image block adjustments are ubiquitous in...
The wavelet-based contourlet transform (WBCT) is a new directional transform. This transform uses the wavelet transform and the directional filter bank (DFB) to obtain a multiscale and multidirection decomposition of image. The wavelet transform and the DFB are non-redundant and perfect reconstruction. So the WBCT can be regarded as a non-redundant version of the contourlet transform. A new image...
The proposed new fusion algorithm is based on the finite Ridgelet transform(FRIT) and PCA. FRIT could capture two and higher dimensional singularity is analyzed. FRIT is used to decompose the image into low and high frequency components. The PCA method is used to fuse the low frequency coefficients. And for the high frequency coefficients, the maximum-method and the region consistency check are adopted...
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