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	Perception and Planning of Intelligent Vehicles Based on BEV in Extreme Off-Road Scenarios 期刊论文 OAI收割 IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 4, 页码: 4568-4572 作者: Fan, Jingjing; Fan, Lili; Ni, Qinghua; Wang, Junhao \| 收藏 \| 浏览/下载：30/0 \| 提交时间：2024/09/09 Feature extraction Radar Roads Trajectory Millimeter wave communication Point cloud compression Image color analysis Cyber-Physical-Social Systems (CPSS) emergency management intelligent vehicles low-altitude economy off-road scenarios
	CameraLink image data fiber transmission technology based on MAX9259/MAX9260 期刊论文 OAI收割 Chinese Optics, 2018, 卷号: 11, 期号: 6, 页码: 1017-1023 作者: Chen, Yang-Jun; Wu, Zhi-Yong; Cui, Ming; Zhang, Wei-Da; Fan, Ri-Zhao \| 收藏 \| 浏览/下载：47/0 \| 提交时间：2019/09/17 Light transmission Data handling Electromagnetic pulse Image enhancement Imaging systems Interfaces (computer) Network protocols Optical fiber communication Optical fibers Photoelectricity Transmissions
	Lossless wavelet compression on medical image (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Photonics and Imaging in Biology and Medicine, September 3, 2005 - September 6, 2005, Tianjin, China 作者: Liu H.; Liu H.; Liu H. 收藏 \| 浏览/下载：60/0 \| 提交时间：2013/03/25 An increasing number of medical imagery is created directly in digital form. Such as Clinical image Archiving and Communication Systems (PACS). as well as telemedicine networks require the storage and transmission of this huge amount of medical image data. Efficient compression of these data is crucial. Several lossless and lossy techniques for the compression of the data have been proposed. Lossless techniques allow exact reconstruction of the original imagery while lossy techniques aim to achieve high compression ratios by allowing some acceptable degradation in the image. Lossless compression does not degrade the image thus facilitating accurate diagnosis of course at the expense of higher bit rates i.e. lower compression ratios. Various methods both for lossy (irreversible) and lossless (reversible) image compression are proposed in the literature. The recent advances in the lossy compression techniques include different methods such as vector quantization wavelet coding neural networks and fractal coding. Although these methods can achieve high compression ratios (of the order 50:1 or even more) they do not allow reconstructing exactly the original version of the input data. Lossless compression techniques permit the perfect reconstruction of the original image but the achievable compression ratios are only of the order 2:1 up to 4:1. In our paper we use a kind of lifting scheme to generate truly loss-less non-linear integer-to-integer wavelet transforms. At the same time we exploit the coding algorithm producing an embedded code has the property that the bits in the bit stream are generated in order of importance so that all the low rate codes are included at the beginning of the bit stream. Typically the encoding process stops when the target bit rate is met. Similarly the decoder can interrupt the decoding process at any point in the bil stream and still reconstruct the image. Therefore a compression scheme generating an embedded code can start sending over the network the coarser version of the image first and continues with the progressive transmission of the refinement details. Experimental results show that our method can get a perfect performance in compression ratio and reconstructive image.
	The research of aerial RS real-time image compression transmission based on DSP 会议论文 OAI收割 2006 IEEE International Geoscience and Remote Sensing Symposium, IGARSS,, Denver, CO, United states, July 31, 2006 - August 4,2006 Jin, Chuan ; Qin, Qiming; Li, Jie; Chen, Dezhi 收藏 \| 浏览/下载：23/0 \| 提交时间：2014/12/07 Image compression Algorithms Image communication systems Image quality Network architecture Real time systems Remote sensing
	Geometry simulation of HJ-1A satellite multi-spectral image 会议论文 OAI收割 Geoinformatics 2006: GNSS and Integrated Geospatial Applications, Wuhan, China, October 28, 2006 - October 29,2006 Hao, Zhang; Bing, Zhang; Zhengchao, Chen 收藏 \| 浏览/下载：31/0 \| 提交时间：2014/12/07 Satellites Algorithms Computer simulation Image analysis Image sensors Photogrammetry Radiometry Remote sensing Satellite communication systems Space surveillance
	a scalable resource locating service in vega grid 会议论文 OAI收割 4th International Conference on Grid and Cooperative Computing - GCC 2005, Beijing, China, 40850 Mo Hai; Li Zha; Haozhi Liu \| 收藏 \| 浏览/下载：28/0 \| 提交时间：2011/07/28 Data communication systems Distributed computer systems Image processing Information analysis Resource allocation Routers Telecommunication traffic
	Landsat TM multi-spectral classification using support vector machine method in low-hill areas 会议论文 OAI收割 Image Processing and Pattern Recognition in Remote Sensing II, Honolulu, HI, United states, November 8, 2004 - November 9,2004 Zhao, Shuhe; Ke, Changqing; Dong, X.; Li, J.; Feng, X. Source 收藏 \| 浏览/下载：27/0 \| 提交时间：2014/12/07 Remote sensing Image analysis Learning systems Neural networks Pattern recognition Satellite communication systems Statistical methods