中国科学院机构知识库网格系统: 检索

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	Sample and Structure-Guided Network for Road Crack Detection 期刊论文 OAI收割 IEEE ACCESS, 2019, 卷号: 7, 页码: 130032-130043 作者: Wu, Siyuan; Fang, Jie; Zheng, Xiangtao \| 收藏 \| 浏览/下载：64/0 \| 提交时间：2019/10/11 Road crack detection neural network representation capability sample imbalance structural information
	Investigation of Axial Electric Field Measurements with Grounded-Wire TEM Surveys 期刊论文 OAI收割 PURE AND APPLIED GEOPHYSICS, 2018, 卷号: 175, 期号: 1, 页码: 365-373 作者: Zhou, Nan-nan; Xue, Guo-qiang; Li, Hai; Hou, Dong-yang \| 收藏 \| 浏览/下载：26/0 \| 提交时间：2018/09/26 Axial Electric Field Grounded-wire Tem Detection Capability Occam Inversion
	Investigation of Axial Electric Field Measurements with Grounded-Wire TEM Surveys 期刊论文 OAI收割 PURE AND APPLIED GEOPHYSICS, 2018, 卷号: 175, 期号: 1, 页码: 365-373 作者: Zhou, Nan-nan \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2018/09/26 Axial Electric Field Grounded-wire Tem Detection Capability Occam Inversion
	Innovative EDL GNC scheme for precise and safe mars landing missions (EI CONFERENCE) 会议论文 OAI收割 60th International Astronautical Congress 2009, IAC 2009, October 12, 2009 - October 16, 2009, Daejeon, Korea, Republic of 作者: Liu Y.; Zhang L. 收藏 \| 浏览/下载：44/0 \| 提交时间：2013/03/25 Future mars missions plan to land the more massive spacecrafts on the higher altitude and hazardous region the landers should have the capability of high-precision autonomous navigation guidance and control (GNC) and automatic obstacle detection and avoidance to explore the scientific but hazardous region. The traditional deep space network (DSN) based GNC mode used in the Mars entry descent and landing (EDL) phase has no ability to meet this goal so the novel EDL GNC scheme is required to achieve the precise and safe Mars landing. This paper proposes the innovative Mars EDL GNC system scheme and the emphases are focused on the EDL navigation guidance and control with high landing accuracy and autonomous obstacle detection and avoidance.
	An improved two-dimensional entropy method for star trail tracing in deep sky (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Wang Y.-J.; Yao Z.-J. 收藏 \| 浏览/下载：32/0 \| 提交时间：2013/03/25 The trace of star trail is an important component of deep sky detection. The stars are low contrast targets and their self-rotation will make their brightness change in cycle. Above all the trail trace is vulnerable to the block and disturbance of other stars. Traditional one-dimensional maximum entropy thresholding algorithm is vulnerable to the noise and the calculation of two-dimensional entropy methods is too large and takes too much time. This paper proposes an improved two-dimensional entropy threshold algorithm. We use recursion iteration method to eliminate the redundancy calculation and reduce the size of two-dimensional histogram based on the deep sky stars characteristic such as low contrast fuzziness and the centralized histogram. We also combine our algorithm with the space trail trace model to forecast the star trace. Experiments results show when the star are blocked or they turn dark the method still can well extrapolate the star trace. Our method improves the capability of trailing the ebb and small star and increases the precision of tracing. It is also robust to the noise so there is a good application foreground for the method.