中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共7条，第1-7条

帮助

条数/页：排序方式：
	Potential Bands of Sentinel-2A Satellite for Classification Problems in Precision Agriculture 期刊论文 OAI收割 International Journal of Automation and Computing, 2019, 卷号: 16, 期号: 1, 页码: 16-26 作者: Tian-Xiang Zhang; Jin-Ya Su; Cun-Jia Liu; Wen-Hua Chen \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2021/02/22 Sentinel-2A remote sensing image classification supervised learning precision agriculture.
	A variable precision rough set approach to the remote sensing land use/cover classification 期刊论文 iSwitch采集 Computers & geosciences, 2010, 卷号: 36, 期号: 12, 页码: 1466-1473 作者: 收藏 \| 浏览/下载：34/0 \| 提交时间：2019/05/10 Remote sensing classification Knowledge discovery Overlapping data Variable precision rough sets Vprs
	Research on station mode for attitude determination of multiple targets (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computational and Information Sciences, ICCIS2010, December 17, 2010 - December 19, 2010, Chengdu, Sichuan, China 作者: Zhao L.; Wang J.; Li M. 收藏 \| 浏览/下载：38/0 \| 提交时间：2013/03/25 A key problem of attitude determination system is how to locate CMOS cameras and deal with relations among them. In this paper several kinds of multi-CMOS station mode are introduced. Fundamental principles and classification of station mode directly affect on measurement parameters of system. No matter what mode is designed the ultimate goal is to extend Effective Viewing Field (EVF) increase capture ratio of objects and increase measurement precision. Station mode introduced in this paper is made of CMOS cameras because of low cost high speed frame frequency and low power consumption CMOS cameras were putted near from object tested. So sequences of image are legible which are convenient for analysis of three dimensional(3D) attitude. 2010 IEEE.
	Feasibility Analysis of Automatic Classification on Land Use Change Dynamic Monitoring 会议论文 OAI收割 Proceedings of the 2009 2nd International Congress on Image and Signal Processing, Vols 1-9, New York Wei Xianhu; Zhang Zengxiang; Zhao Xiaoli; Liu Bin; Liu Fang 收藏 \| 浏览/下载：23/0 \| 提交时间：2014/12/07 land use automatic classification Human-Computer Interaction interpretation classification precision
	Remote chlorophyll-a retrieval in eutrophic inland waters by concentration classification Taihu Lake case study 会议论文 OAI收割 International Conference on Earth Observation Data Processing and Analysis, ICEODPA,, Wuhan, China, December 28, 2008 - December 30,2008 Du, Cong; Wang, Shixin; Zhou, Yi; Yan, Fuli 收藏 \| 浏览/下载：33/0 \| 提交时间：2014/12/07 In order to improve the precision of phytoplankton chlorophyll-a (chla) concentration retrieval this study classified the data into two groups (the high and the low) by chla concentration with the threshold of 50gA&bullL-1. And then build the statistical models for each group. Particularly a modifying factor OSS/TSS was used to unmixing the spectra in the low model to improve the low relationship between spectral reflectance and chla concentrations. As a result the concentration classification model allowed estimation of chla with a root mean square error (RMSE) of 21.12gA&bullL-1 and the determination coefficient (R2) was 0.92 comparing with RMSE of chla estimation was 35.72gA&bullL-1 and R2=0.72 in the traditional model. It shows that concentration classification is a helpful method for accurate remote chla retrieval in eutrophic inland waters. 2008 SPIE.
	A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Yao Z.-J. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However 3. applying the standard Hough transform equation to every point of the input image edge 4. according to the local threshold 6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes traditional Hough transform can only detect the lines 2. quantizing the parameter space and extracting a group of maximums according to the global threshold eliminating spurious peaks which are caused by the spreading effects and will improve the precision of tracking. cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately 5. fixing on the endpoints of the segments according to the dynamic clustering rule which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image parameter and line-segment spaces
	Study on image-segmented classification 会议论文 OAI收割 2001 International Conferences on Info-Tech and Info-Net Proceedings, Conference a-G: Info-Tech & Info-Net: A Key to Better Life, New York Liu, YL; Yan, SY; Wang, T 收藏 \| 浏览/下载：18/0 \| 提交时间：2014/12/07 remote sensing image image-segmented classification spectral features precision