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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 专题：长春光学精密机械与物理研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Precise Target Geo-Location of Long-Range Oblique Reconnaissance System for UAVs 期刊论文 Sensors, 2022, 卷号: 22, 期号: 5, 页码: 26 作者:  X. F. Zhang;  G. Q. Yuan;  H. W. Zhang;  C. Qiao;  Z. M. Liu 收藏  |  浏览/下载：1/0  |  提交时间：2023/06/14 Modified Degree of Polarization Function for Rough Metallic Surface Parameter Estimation Based on Multispectral Polarimetric Measurement 期刊论文 Ieee Access, 2020, 卷号: 8, 页码: 197184-197193 作者:  X. Wang,J. Yuan,C. X. Yan,Y. F. Qiao,J. Q. Zhang,X. P. Ju,N. Ding and Y. Z. Dong 收藏  |  浏览/下载：2/0  |  提交时间：2021/07/06 Video stabilization with improved motion vector estimation 期刊论文 Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2015, 卷号: 23, 期号: 5, 页码: 1458-1465 作者:  Ji, S.-J.;  M. Zhu;  Y.-M. Lei and H.-P. Hu 收藏  |  浏览/下载：16/0  |  提交时间：2016/08/24 可调对比度目标生成及其检测应用研究 学位论文 博士: 中国科学院大学, 2014 王素华 收藏  |  浏览/下载：29/0  |  提交时间：2014/08/21 云层背景下目标多特征信息融合及跟踪策略研究 学位论文 博士: 中国科学院大学, 2014 郭同健 收藏  |  浏览/下载：81/0  |  提交时间：2014/08/21 Autofocusing technique based on image processing for remote-sensing camera (EI CONFERENCE) 会议论文 International Symposium on Photoelectronic Detection and Imaging 2007 - Image Processing, September 9, 2007 - September 12, 2007, Beijing, China Wang X.; Sun R.-C.; Xu S.-Y. 收藏  |  浏览/下载：15/0  |  提交时间：2013/03/25 The key to the auto-focusing technique based on image processing is the selection of focus measure reflecting image definition. Usually the measures derived are on the premise of the images acquired with the same scene. As for the remote-sensing camera working in linear CCD push-broom imaging mode  the premise doesn't exist because the scenes shot are different at any moment  which brings about difficulties to the selection of the focus measure. To evaluate the image definition  the focus measure based on blur estimation for rough adjustment is proposed to estimate the focused position by only two different lens positions  which greatly saves the auto-focusing time. Another evaluation function based on edge sharpness is developed to find best imaging position in the narrow range. Simulations show that the combination of the two measures has the advantages of rapid reaction and high accuracy.