中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
机构
采集方式
内容类型
发表日期
学科主题
筛选

浏览/检索结果: 共20条,第1-10条 帮助

条数/页: 排序方式:
Fluorescein-loaded nanoflowers driven smart anticorrosion coating for hierarchically visually monitoring of early failure process 期刊论文  OAI收割
PROGRESS IN ORGANIC COATINGS, 2024, 卷号: 194, 页码: 13
作者:  
Cheng, Li;  Jiao, Dezhi;  Cao, Lan;  Hou, Peimin;  Deng, Kangqing
  |  收藏  |  浏览/下载:6/0  |  提交时间:2024/09/02
The Digital Assembly and Maintenance Training Platform for ITER-Type Mock-Up in Virtual Reality Environment 期刊论文  OAI收割
FUSION SCIENCE AND TECHNOLOGY, 2021, 页码: 10
作者:  
Li, Jin-Yang;  Guo, Sheng-Miao;  Gu, Long;  Zhang, You-Peng;  Yang, Sheng
  |  收藏  |  浏览/下载:30/0  |  提交时间:2021/12/09
Prediction of trust propensity from intrinsic brain morphology and functional connectome 期刊论文  OAI收割
HUMAN BRAIN MAPPING, 2020, 页码: 17
作者:  
Feng, Chunliang;  Zhu, Zhiyuan;  Cui, Zaixu;  Ushakov, Vadim;  Dreher, Jean-Claude
  |  收藏  |  浏览/下载:64/0  |  提交时间:2020/11/30
Detecting Maneuvering Target Accurately Based on a Two-Phase Approach From Remote Sensing Imagery 期刊论文  OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 卷号: 17, 期号: 5, 页码: 849-853
作者:  
Chen, Xueyun;  Lin, Jingyu;  Xiang, Shiming;  Pan, Chun-Hong
  |  收藏  |  浏览/下载:32/0  |  提交时间:2020/06/22
Multi-source Remote Sensing Image Registration Based on Contourlet Transform and Multiple Feature Fusion 期刊论文  OAI收割
International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 5, 页码: 575-588
作者:  
Huan Liu;  Gen-Fu Xiao;  Yun-Lan Tan;  Chun-Juan Ouyang
  |  收藏  |  浏览/下载:6/0  |  提交时间:2021/02/22
Multi-Discriminator Generative Adversarial Network for High Resolution Gray-Scale Satellite Image Colorization 会议论文  OAI收割
Valencia, Spain, 22-27 July 2018
作者:  
Li FM(李非墨);  Ma L(马雷);  Cai J(蔡健)
  |  收藏  |  浏览/下载:55/0  |  提交时间:2019/10/03
An algorithm of non-continuous gray-scale histogram enhancement based on the visual characteristics 会议论文  OAI收割
作者:  
Li Y;  Li Z;  Tang XY
  |  收藏  |  浏览/下载:26/0  |  提交时间:2018/11/20
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.  
A Local Image Enhancement Method Based on Adjacent Pixel Gray Order-preserving Principle 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:  
Fan XP(范晓鹏);  Cai TF(蔡铁峰);  Zhu F(朱枫)
收藏  |  浏览/下载:35/0  |  提交时间:2013/12/26
The paper is committed in local image enhancement. At first, the authors propose an adjacent pixel gray order-preserving principle. Adjacent pixel gray order-preserving principle is the basement of local enhancement method which ensures that there is no distortion in processed image. And then, the authors propose an iterative algorithm, which could stretch gray-scale difference of adjacent pixels in premise of not changing gray magnitude relationship between adjacent pixels. At last, the authors propose a totally reference image quality assessment method based on adjacent pixel gray order-preserving principle. According to this quality assessment method, the authors made a set of comparative experiments with local histogram equalization and method. Experimental results show that the proposed enhancement method can get higher score and provide better visual effects, fully demonstrating its effectiveness. According to this quality assessment method, the proposed method shows a good effectiveness, through experimental results and comparison with local histogram equalization method.  
Temporal stability of soil water storage under four types of revegetation on the northern Loess Plateau of China SCI/SSCI论文  OAI收割
2013
Jia Y. H.; Shao M. A.
收藏  |  浏览/下载:27/0  |  提交时间:2014/12/24