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This paper addresses the problem of lossy compression for hyperspectral images and presents an efficient compression algorithm based on FastICA. Firstly, an efficient algorithm for segmentation of hyperspectral images is proposed. Secondly, based on the targets, a lossy compression based on ROI (Region of Interest) is proposed for hyperspectral compression, which employs KLT(Karhunen-Loève transform)...
In this paper, the problem of target detection in the clutter plus Gaussian noise background is considered. The published detectors group the clutter and the noise as a single parameter; differently, we deal separately with the clutter and the noise. In the paper, the noise is assumed to be obtained in advance and the clutter is distributed according to a certain distribution. An adaptive target detector...
This paper deals with the problem of waveform design for through-the-wall radar with the presence of signal-dependent interference embedded in white Gaussian noise. Based on the target matched illumination theory, we present a linear combination method (LCM) to design the transmitted waveform for target detection. The LCM divides the waveform design problem into two independent optimization problems,...
Motion detection is of paramount importance in video surveillance systems. In this paper, a novel algorithm is proposed to extract the exact boundaries of moving objects in video frames. Using the concepts of Cross-Correlation and Edge Detection, we combine two well-known motion detection methods to extract the moving regions more accurately. Also, we modify these two methods in terms of accuracy...
An important task in maritime search and inspection involves re-acquiring and identifying underwater objects by surveying the objects from multiple angles. Because of false contacts related to clutter on the sea floor, the objects are often detected in dramatically different densities in a given area. Previously developed methods to plan survey paths on groups of contacts led to efficient paths when...
In this paper, we consider the problem of detecting target in target-induced clutter (TIC) plus Gaussian noise background. Processing this detection problem, the traditional generalized likelihood ratio detector (GLRD) deals with the clutter as a part of the noise. An adaptive subspace detector for TIC (TIC-ASD) background is proposed. Different from the traditional GLRD, the TIC-ASD deals with the...
In this paper we present a multi-frame motion detection approach for aerial platforms with a two-folded contribution. First, we propose a novel image registration method, which can robustly cope with a large variety of aerial imagery. We show that it can benefit from a hardware accelerated implementation using graphic cards, allowing processing at high frame rate. Second, to handle the inaccuracy...
An efficient approach to achieve ground moving target indication (GMTI) for synthetic aperture radar (SAR) is to use the Monopulse-SAR system. This paper examines the statistics of monopulse ratio (MR) for SAR/GMTI model when complex Gaussian clutter-plus-noise is considered. The probability density function (pdf) of MR is analyzed in detail. Especially, the conditional likelihood function of MR under...
This paper introduces a discriminative framework for the task of vehicle detection based on Hough Forest. The leaf nodes in Hough Forest framework are not discriminative enough, which means that they do not have the ability to classify whether the test patches ended up in each leaf are positive or negative. Hough votes are assigned to all test patches by Hough forest, including negative test patches,...
Falls and consequent injuries among the elderly population are major public health problems that often require medical attention. Every year, the world has more than 30% of people aged over 65 fall and most of them could not stand up without assistance promptly. The long laying makes the injury even more seriously. A system of monitoring the status of the elderly based on image processing technology...
This paper addresses sensor network-based surveillance of target detection and target type & motion classification. The performance of target detection and classification could be compromised (e.g., due to high rates of false alarm and misclassification), because of inadequacies of feature extraction from (possibly noisy) sensor data and subsequent pattern classification over the network. A feature...
In the complicated high sky environment, when the signal noise ratio (SNR) is low, the infrared small target which is collected by the infrared detection instrument is difficult to be detected. The infrared weak and small target detection is researched. On the basis of noise character analysis of infrared image, an improved infrared small target detection algorithm is proposed based on energy minimization...
In the field of infrared remote sensing, the problem of IR small target detection is still an important component part. Concerning dim small target detection from infrared image, a spatially adaptive denoising with activity level estimation based method is adopted here for infrared small target detection. First, the original image is decomposed into different levels of coefficients using DWT method...
A detection method of moving targets in deep space is researched based on technology of image registration. According to the characteristics of deep space image information, a SUSAN feature point extraction algorithm is modified to inhibit isolated noises which are similar to sidereal feature points, and it effectively eliminates isolated noises. The geometric constraint among stars in the star image...
Aiming at solving the noise problem which had lowered the accuracy in the target detection result from the process of image-collection and image-transmission, the paper proposes a new target detection algorithm based on the improved wavelet threshold. Firstly, these images are filtered by a denoising method, which combines the wavelet threshold method with the correlation of the wavelet coefficients,...
In wireless network, the resource limitations and process speed are the main constraints. They make many traditional background subtraction methods unable to be applied in wireless network. Vibe algorithm is a newly proposed background subtraction technique and its computational load is very low. That makes it available in the wireless network. However, Vibe is a pixel-level algorithm and it does...
In this paper, three target detectors Uniformly Most Powerful Invariant (UMPI), Generalized Likelihood Ratio Test (GLRT) and a Separating Function Estimation Test (SFET) based on the scale group of transformations are proposed and applied to Widely Separated Antennas Multiple-Input Multiple-Output (WSA MIMO) radars. It is shown that for this problem the UMPI test depends on the scatter to noise ratio,...
This article presents a block-updating moving object detection method-background subtraction. This method weights the former two frames of start frame, models initial background, then subtracts current frames and background frame, divides difference image into multiple sub blocks, computes sum and does threshold comparison of total pixels of each block, gets binary image through threshold segmentation,...
To solve the problem that false alarm rate elevates when detecting moving targets in strong ground clutter, a time-frequency 2D detection algorithm is presented. The algorithm is researched and analyzed firstly. Then the system hardware based on DSP is designed. Algorithm program is realized by using C language and the ground moving targets detection is accomplished. Pre-processing module, A/D conversion...
Abandoned object discovery using tracking based approaches are often become unpredictable in complex surveillance videos due to noise, occlusions, lighting changes, and other factors. This proposed paper presents a new structure to strongly and proficiently detect abandoned objects based on background subtraction. In this proposed system, the background is modelled by Gaussian mixture. In order to...
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