机构

• 地理科学与资源研究所 [2]
• 地质与地球物理研究所 [2]
• 水生生物研究所 [2]
• 中国科学院大学 [2]
• 植物研究所 [2]
• 昆明植物研究所 [1]
• 更多

采集方式

• OAI收割 [12]
• iSwitch采集 [2]

内容类型

• 期刊论文 [12]
• 会议论文 [2]

发表日期

• 2024 [1]
• 2022 [1]
• 2021 [3]
• 2020 [1]
• 2017 [1]
• 2016 [1]
• 更多

学科主题

• Plant Scie... [2]

筛选

浏览/检索结果: 共14条，第1-10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 GRLN: Gait Refined Lateral Network for gait recognition 期刊论文  OAI收割 DISPLAYS, 2024, 卷号: 84, 页码: 8 作者:  Song, Yukun;  Mao, Xin;  Feng, Xuxiang;  Wang, Changwei;  Xu, Rongtao   |  收藏  |  浏览/下载：22/0  |  提交时间：2024/09/09 Adaptive feature refinement module  Coarse-to-fine  Gait recognition  Horizontally stable mapping   Identification of qGL3.5, a Novel Locus Controlling Grain Length in Rice Through Bulked Segregant Analysis and Fine Mapping 期刊论文  OAI收割 FRONTIERS IN PLANT SCIENCE, 2022, 卷号: 13 作者:  Wang, Lan;  Liu, Yang;  Zhao, Haiyan;  Zheng, Yuebin;  Bai, Feng   |  收藏  |  浏览/下载：20/0  |  提交时间：2024/03/07 wild rice  grain length  BSA  fine mapping  gene cloning   Observed causative impact of fine particulate matter on acute upper respiratory disease: a comparative study in two typical cities in China 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 11 作者:  Xia, Xiaolin;  Yao, Ling;  Lu, Jiaying;  Liu, Yangxiaoyue;  Jing, Wenlong   |  收藏  |  浏览/下载：47/0  |  提交时间：2021/11/05 Fine particulate matter  Health effect  Causative impact  Acute upper respiratory disease  Convergent cross mapping  Distributed lag nonlinear model   Observed causative impact of fine particulate matter on acute upper respiratory disease: a comparative study in two typical cities in China 期刊论文  OAI收割 ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 页码: 11 作者:  Xia, Xiaolin;  Yao, Ling   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/11/05 Fine particulate matter  Health effect  Causative impact  Acute upper respiratory disease  Convergent cross mapping  Distributed lag nonlinear model   Fine mapping and characterization of two novel quantitative trait loci for early seedling growth in rice 期刊论文  OAI收割 PLANTA, 2021, 卷号: 253, 期号: 2 作者:  Cheng, Peng;  Cao, Ling-Jie;  Bai, Chen;  Ashikari, Motoyuki;  Song, Xian-Jun   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/02/24 Early seeding growth  Leaf size  Oryza sativa  QTL fine mapping  Rice plant   Mapping the Urban Population in Residential Neighborhoods by Integrating Remote Sensing and Crowdsourcing Data 期刊论文  OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 19, 页码: 1-11 作者:  Jing, Chuanbao;  Zhou, Weiqi;  Qian, Yuguo;  Yan, Jingli   |  收藏  |  浏览/下载：19/0  |  提交时间：2021/08/31 urban population estimation  remote sensing  fine-scale  census  dasymetric mapping  nighttime light   CANDIDATE GROWTH GENES IDENTIFIED BY QTL FINE MAPPING IN BIGHEAD CARP Aristichthys nobilis 会议论文  OAI收割 Santiago de Compostela, SPAIN, JUN 21-27, 2015 作者:  Sun, Y. H.;  Liu, H. Y.;  Feng, X.;  Yu, X.;  Fu, B. D.   |  收藏  |  浏览/下载：66/0  |  提交时间：2019/08/01 growth trait  QTL fine mapping  growth gene  marker-assisted selection  bighead carp (Aristichthys nobilis)   QTL fine mapping and identification of candidate genes for growth-related traits in bighead carp (Hypophthalmichehys nobilis) 期刊论文  OAI收割 AQUACULTURE, 2016, 卷号: 465, 期号: 1, 页码: 134-143 作者:  Liu, Haiyang;  Fu, Beide;  Pang, Meixia;  Feng, Xiu;  Wang, Xinhua   |  收藏  |  浏览/下载：226/0  |  提交时间：2019/09/05 Bighead carp (Hypophthalmichthys nobilis)  QTL  Fine mapping  Candidate genes  Growth traits   Detection and fine-mapping of SC7 resistance genes via linkage and association analysis in soybean 期刊论文  OAI收割 JOURNAL OF INTEGRATIVE PLANT BIOLOGY, 2015, 卷号: 57, 期号: 8, 页码: 722-729 作者:  Yan, Honglang;  Wang, Hui;  Cheng, Hao;  Hu, Zhenbin;  Chu, Shanshan 收藏  |  浏览/下载：45/0  |  提交时间：2016/01/19 Association analysis  fine-mapping  linkage analysis  soybean  soybean mosaic virus   A line mapping based automatic registration algorithm of infrared and visible images 会议论文  OAI收割 5th International Symposium on Photoelectronic Detection and Imaging (ISPDI) - Infrared Imaging and Applications, Beijing, June 25-27, 2013 作者:  Ai R(艾锐);  Shi ZL(史泽林);  Xu DJ(徐德江);  Zhang CS(张程硕) 收藏  |  浏览/下载：36/0  |  提交时间：2013/12/26 There exist complex gray mapping relationships among infrared and visible images because of the different imaging mechanisms. The difficulty of infrared and visible image registration is to find a reasonable similarity definition. In this paper, we develop a novel image similarity called implicit linesegment similarity(ILS) and a registration algorithm of infrared and visible images based on ILS. Essentially, the algorithm achieves image registration by aligning the corresponding line segment features in two images. First, we extract line segment features and record their coordinate positions in one of the images, and map these line segments into the second image based on the geometric transformation model. Then we iteratively maximize the degree of similarity between the line segment features and correspondence regions in the second image to obtain the model parameters. The advantage of doing this is no need directly measuring the gray similarity between the two images. We adopt a multi-resolution analysis method to calculate the model parameters from coarse to fine on Gaussian scale space. The geometric transformation parameters are finally obtained by the improved Powell algorithm. Comparative experiments demonstrate that the proposed algorithm can effectively achieve the automatic registration for infrared and visible images, and under considerable accuracy it makes a more significant improvement on computational efficiency and anti-noise ability than previously proposed algorithms.