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A collective of robots can together complete a task that is beyond the capabilities of any of its individual robots. One property of a robotic collective that allows it to complete such a task is the shape of the collective. One method to form that shape is to form it at a size proportional to the number of robots in that collective, i.e. scalably. In our previous work, scalably forming the shape...
For features of synchronous orbit target image, this paper proposes the small target detection method that based on Normalized moment of inertia feature. Firstly, this method uses gray mathematical morphological filter to pre-process the image, improves the target signal noise ratio without affecting the target shape, and then uses constant false alarm rate (CFAR) to choose segmentation threshold...
For inter-frame motion characteristics of slowly moving small target, this paper is proposed a target detection algorithm based on relevant frames. This method use improved spatial high-pass filter for image pre-processing to improve signal to noise ratio of small targets; extract candidate target point by binary segmentation, and then conduct inter-frame correlation to binary image. Correlation is...
Various image filtering strategies have been effective, but most algorithms are to fail in general and create artifacts or remove image fine structures. Hence we propose a novel image filter based on grey polynomial model(GPM) to reduce image noise. The basic conceptions of grey polynomial model are described. The new image filter adopts each noisy pixel's neighborhoods to rectify its intensity value...
When optical altazimuth telescope conducting Geostationary orbit object detection, staring star and staring satellite are two ordinary work mode. This article proposes two different kinds of object detection methods based on the characteristic of object imaging of above two work mode. When staring star, symmetrical difference is presented to reduce star interference, and remaining star interference...
Image pipeline processing is crucial to generating high quality images in applications using complementary metaloxide-semiconductor (CMOS)/charge-coupled device sensors. The on-chip line buffer normally dominates the total area and power dissipation due to the needed filter window buffering. As image resolution and filter support increase, the area and power requirement increase accordingly. This...
A collective of robots can together complete a task that is beyond the capabilities of any of its individual robots. One property of a robotic collective that allows it to complete such a task is the shape of the collective. In this paper, we present a distributed control method, called DASH, to enable a collective of robots to robustly and consistently form and maintain a pre-defined shape. This...
Anomaly detection is of particular interest in hyperspectral image analysis since many unknown and subtle signals which cannot be resolved by multispectral sensors can now be uncovered by hyperspectral imagers. More importantly, the signals of this type generally cannot be identified by visual assessment or prior knowledge and provide crucial and critical information for data analysis. Many anomaly...
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