机构

• 长春光学精密机械与物... [2]
• 地理科学与资源研究所 [1]

采集方式

• OAI收割 [3]

内容类型

• 会议论文 [2]
• 期刊论文 [1]

发表日期

• 2024 [1]
• 2006 [2]

学科主题

筛选

浏览/检索结果: 共3条，第1-3条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 Unraveling the spatial-temporal patterns of typhoon impacts on maize during the milk stage in Northeast China in 2020 期刊论文  OAI收割 EUROPEAN JOURNAL OF AGRONOMY, 2024, 卷号: 156, 页码: 14 作者:  Zhang, Qiang;  Zhang, Geli;  Xiao, Xiangming;  Zhang, Yao;  You, Nanshan   |  收藏  |  浏览/下载：16/0  |  提交时间：2024/05/27 Typhoon  Maize  Milk stage  LSWI  Spatial -temporal compensation  Google Earth Engine   An adaptive temporal filter based on motion compensation for video noise reduction (EI CONFERENCE) 会议论文  OAI收割 2006 International Conference on Communication Technology, ICCT '06, November 27, 2006 - November 30, 2006, Guilin, China 作者:  Li Y.;  Li Y.;  Li Y.;  Li Y. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 Noise in video signals will degrades the image quality. In this paper  an adaptive temporal filter based on motion compensation is proposed for noise reduction. The noise in video sequence is tracked by motion compensation in temporal domain. The filtering strength can be adaptive changed on object motion situation. The experiment results show that the proposed filter is better than the filter in spatial domain. The noise in video signals can be effectively reduced and the image will not be blurry as the result of spatial filter.   Novel adaptive temporal filter based on motion compensation for video noise reduction (EI CONFERENCE) 会议论文  OAI收割 2006 International Symposium on Communications and Information Technologies, ISCIT, October 18, 2006 - October 20, 2006, Bangkok, Thailand Yan L.; Yanfeng Q. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 Noise in video signals will degrades the image quality. In this paper  a novel adaptive temporal filter based on motion compensation is proposed for noise reduction. The noise in video sequence is tracked by motion compensation in temporal domain. The filtering strength can be adaptive changed on object motion situation. The experiment results show that the proposed filter is better than the filter in spatial domain. The noise in video signals can be effectively reduced and the image will not be blurry as the result of spatial filter. 2006 IEEE.