机构

• 长春光学精密机械与物... [1]
• 海洋研究所 [1]
• 地球环境研究所 [1]
• 合肥物质科学研究院 [1]

采集方式

• OAI收割 [4]

内容类型

• 期刊论文 [2]
• CNKI期刊论文 [1]
• 会议论文 [1]

发表日期

• 2014 [3]
• 2010 [1]

学科主题

筛选

浏览/检索结果: 共4条，第1-4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 Characteristics of heavy aerosol pollution during the 2012-2013 winter in Beijing, China 期刊论文  OAI收割 ATMOSPHERIC ENVIRONMENT, 2014, 卷号: 88, 页码: 83-89 作者:  Li, X (Li, Xia)[ 1,2 ];  Quan, JN (Quan, Jiannong)[ 1,2 ];  Tie, XX (Tie, Xuexi)[ 3,4 ];  Zhang, Q (Zhang, Qiang)[ 1,2 ];  Liu, Q (Liu, Quan)[ 1,2 ]   |  收藏  |  浏览/下载：18/0  |  提交时间：2018/11/27 Aerosol  Fog And Haze  Low Visibility  Beijing  Pbl Height   双波长激光雷达探测典型雾霾气溶胶的光学和吸湿性质 期刊论文  OAI收割 中国激光, 2014, 卷号: 41 作者:  伯广宇;  刘东;  吴德成;  王邦新;  钟志庆   |  收藏  |  浏览/下载：9/0  |  提交时间：2023/11/10 remote sensing  lidar  fog and haze  aerosols  optical properties  hygroscopic growth factor  遥感  激光雷达  雾霾  气溶胶  光学性质  吸湿增长因子   Addressing the issue of fog and haze:A promising perspective from meteorological science and technology CNKI期刊论文  OAI收割 2014 作者:  MU Mu;  ZHANG RenHe   |  收藏  |  浏览/下载：0/0  |  提交时间：2024/12/18 Addressing the issue of fog and haze:A promising perspective from meteorological science and technology   Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文  OAI收割 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China 作者:  Wang Y.;  Li J.;  Li J.;  Li J.;  Wang Y. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 This paper proposes a new restoration method  only using the single image information  combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols  such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images  and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods  our restoration technique is not only independent on predicted structure  distributions of scene reflectance  or detailed knowledge about the particular weather condition  but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.