中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共5条，第1-5条

帮助

条数/页：排序方式：
	Small Infrared Target Detection Based on Fast Adaptive Masking and Scaling With Iterative Segmentation 期刊论文 OAI收割 IEEE Geoscience and Remote Sensing Letters, 2021 作者: Chen, Yaohong; Zhang, Gaopeng; Ma, Yingjun; Kang, Jin U.; Kwan, Chiman \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2021/02/08 Adaptive masking and scaling iterative segmentation real-time target detection small infrared (IR) target detection
	Design of real-time small target detection system for infrared image based on FPGA (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010, May 10, 2010 - May 11, 2010, Wuhan, China 作者: Liu J.; Sun Q.; Wang J.; Ye X.; Xu H. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 A simple detection measurement is developed for realtime small target detection in infrared background which can be easily available on FPGA. Basing on the difference between target and background a predictive background is generated via restraining the infrared background with median filter and then global threshold segmentation is used to residual image for further processing. Taking advantage of the relationship of targets in frames a comprehensive analysis of residual image is made and then the precise position of target is got by removing pseudo-objectives. Experiment results show that the method is simple to apply to hardware system improve the system's false alarm rate and meet the requirements of practical engineering. 2010 IEEE.
	Adaptive segmentation algorithm for ship target under complex background (EI CONFERENCE) 会议论文 OAI收割 2010 3rd International Conference on Advanced Computer Theory and Engineering, ICACTE 2010, August 20, 2010 - August 22, 2010, Chengdu, China Wang A.-B.; Wang C.-X.; Su W.-X.; Dong Y.-F. 收藏 \| 浏览/下载：25/0 \| 提交时间：2013/03/25 Segmentation of ship target under complex background has important research significance in long-range ship tracking and identification and an adaptive segmentation algorithm is proposed according to background images with different complexity. Local complexity of image is first calculated in this algorithm and then the original image is preprocessed with different de noising methods according to local complexity finally the image is binarized based on local complexity and the target is segmented. The experiment results indicate that the algorithm is adaptive and can meet the requirements of real-time processing which lays a foundation for ship target detection under complex background. 2010 IEEE.
	Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Xue X.-C. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper in view of the low-flying target near the sea is always above the sea-level line we can first locate the sea-level line and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed and the executive time of target segmentation is also much reduced. A new method is proposed which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line lastly uses the centroid tracking algorithm to detect and track the target. In the experiment high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast and eliminate the negative impact of the clutter caused by waves and clouds and capture and track target real-timely and accurately.
	A method for automatic infrared point target detection in a sea background based on morphology and wavelet transform 会议论文 OAI收割 3rd International Symposium on Multispectral Image Processing and Pattern Recognition, BEIJING, China, October 20-22, 2003 作者: Wen PZ(温佩芝); Shi ZL(史泽林); Yu HB(于海斌); Wu XJ(吴晓军) 收藏 \| 浏览/下载：13/0 \| 提交时间：2012/06/06 infrared point-target wavelet transform morphology target detection and segmentation sea background