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Through the use of machine vision and digital image processing technology and the surface microscopic images collected by the CCD camera, the analysis of relationship between gray feature and microscopic topography, the application of Visual C++ software for image processing, and the establishment of mathematical model of three-dimensional surface topography based on least square plane, a more precise...
Because MATLAB has strong computing power and image processing toolbox with abundant functions, it can provide a quick and convenient research platform for algorithms in order to improve study efficiency. This paper mainly presents two image fusion algorithms based on Weight Fusion and HIS transformation for multispectral data and high-resolution data conveniently, quickly and accurately in MATLAB...
In order to get the higher compression quality of multispectral remote sensing image, which taken the JPEG2000 as the standard, used FPGA and special compression chip ADV212 to realize the remote sensing image compression system is proposed. The system used the specialty compression chip ADV212 which is newly relaesed by Analog Device company. It used to develop fast high-quality compression for the...
The feature extraction is one of the key steps for SAR ATR. It can greatly reduce the amount of information processing by SAR ATR, improve the identification efficiency, reduce the time of recognition and lower resources utilization by means of the feature extraction. In the beginning, the feature extraction methods are classified by target type and then various categories methods are summarized....
Image fusion is a process to integrate complementary information from multiple images of the same scene such that the fused image contains a more accurate description of the scene than any of the individual source images. In this paper we present a new feature level fusion algorithm for multifocus color images. First, the intensity components of the source images are separated in Intensity- Hue-Saturation...
In this paper, a novel color image super-resolution reconstruction algorithm based on IMage Euclidean Distance (IMED) and manifold learning is proposed. Firstly, the wavelet decomposition is used to extract features from training images. Then IMED is adopted for the computation of distances between pairs of small patches. Finally, the color high resolution image is reconstructed in YCbCr space in...
For motion detection based on background difference method, there is a method of estimating background by multi-Gaussian distribution model. But in this method, the update rate alpha for both background model and the weights of Gaussian model affects directly the speed of background modeling and capability of resisting disturbance in modeling. A new method of adaptively changing update rate alpha...
A modified genetic algorithm with search space narrowing down is presented. The proposed GA has been proved good performance in both the numerical examples and the molecular docking. As a further application, it is used to deal with the fractal image coding to overcome its long block matching time of traditional fractal image coding. This paper uses the improved algorithm's optimal solution search...
The research of tree-rings helps us to understand the local climate change, pollution, etc. in that time, but also to identify the wood species. The detection of tree-rings boundary is a prerequisite for the computer to automatically obtain information about tree-rings. A new approach based on mathematical morphology to achieve tree-rings boundary from micro-images of wood on cross-section is presented...
A novel maneuver detector for radar targets is described. The high resolution Doppler profile is used to detect abrupt variation in attitude as the target maneuvers, which can be extracted within the coherent processing interval. A brief introduction of the detection principle is presented, along with feasibility study results from a back propagation neural network implementation.
In this paper,we propose an shape-based interpolation algorithm using window technology. The aim of this algorithm is to reconstruct the three-dimensional object from a group of two-dimensional sets representing sections of that object. Firstly, the window technology and image fusion method are used to get more details what we are interested in of consecutive sets,and then the contour of the image...
Atmospheric correction can eliminate radiation distortion of remote sensing images caused by atmospheric effects and is the basis of data processing for dynamic monitoring of quantitative indicators. In this paper, 6S and FLAASH based on radiation transfer model are applied to atmospheric correction of SPOT4 image. Judging from the results of correction, atmospheric correction can obtain features...
Through formation flying, distributed SAR satellites system can increase the number of spatial degree-of-freedoms (DOFs) and provide flexible multi-baselines for SAR-GMTI(ground moving target indication), while improving the system performance. This letter proposes a robust optimum adaptive clutter suppression technique for SAR-GMTI applied to the distributed spaceborne synthetic aperture radar (SAR)...
Hand gesture contour detection is the key technology of gesture recognition based on computer vision. In this paper, the GVF Snake model and the skin color elliptical model is proposed to extract the contour of the static hand gesture. The skin color elliptical model is used to calculate the field of the hand and the initial contour. Hand gesture contour is detected by the GVF Snake model based on...
SAR simulation technology is of great significance for the development of synthetic aperture radar. The paper firstly proposes the constituted principles of missile SAR echo simulation system, discusses and establishes mathematical model of the Missile SAR echo signal, and describes the target Scattering model and the geometric model on the distributed targets and described the target Scattering model...
The existing particle swarm optimization (PSO) and genetic algorithms (GA) could not solve some discrete-valued problems effectively such as Endmember extraction in hyperspectral imagery. Firstly, the theory of particle swarm optimization was reviewed, and a genetic algorithm based Endmember extraction method was analyzed, which combined with the convex geometry theory. Then, a particle swarm optimization...
Super-resolution image reconstruction is a technique to reconstruct high resolution image or video from a sequence of low resolution images. The super resolution method is summarized in this paper. The frequency domain method, non-uniform interpolation, POCS method, iterative back projection method, Bayesian approach, regularization method are both discussed for super-resolution image reconstruction.
In this paper, an acoustic imaging algorithm based on acoustic array Multiple-Input Multiple-Output (MIMO) and Multiple Signal Classification (MUSIC) by location algorithm fusion is proposed to realize Three Dimension (3D) location estimation and display for future mobile system. By combined with MIMO beam estimation and MUSIC estimation algorithm, the location fusion algorithm with 3D display advantage...
The traditional multi-resolution Markov random field (MRMRF) model uses two-component Markov random field model on each resolution, and requires training data to estimate the necessary model parameters, which is unsuitable for unsupervised image segmentation. Under this circumstance, a new multi-resolution Markov random field model with variable potential for unsupervised texture image segmentation...
Remote sensing technique has become the main method for earth observation in the 21st century, and it has been widely used in environmental disaster monitoring and resources survey at regional and global scales. In recent years, remote sensing data type enriches constantly and presents to be mass data and multi-source increasingly. However, the utilization of remote sensing data remains at a low level,...
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