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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
地理科学与资源研究所 [3]
计算技术研究所 [1]
长春光学精密机械与物... [1]
遥感与数字地球研究所 [1]
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OAI收割 [6]
内容类型
期刊论文 [3]
会议论文 [2]
专著章节 [1]
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2021 [1]
2020 [1]
2013 [2]
2011 [1]
2001 [1]
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A hybrid vector-raster approach to drainage network construction in agricultural watersheds with rice terraces and ponds
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2021, 卷号: 601, 页码: 8
作者:
Liu, Junzhi
;
Liu, Zhangcong
;
Yin, Yueqiang
;
Croke, Barry F. W.
;
Chen, Min
  |  
收藏
  |  
浏览/下载:68/0
  |  
提交时间:2021/11/05
Drainage network
Hybrid vector-raster data model
Spatial discretization
Flow direction
Watershed
Rice terraces and ponds
GDAL/OGR and Geospatial Data IO Libraries
专著章节
OAI收割
出自: Geographic Information Science & Technology Body of Knowledge, Online:John P. Wilson, 2020
作者:
Qin, Cheng-Zhi
;
Zhu, Liang-Jun
  |  
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2022/10/21
Geospatial Data
Abstract Data Model
Raster Data
Vector Data
Geoprocessing
Format Conversion
Coordinate Transformation
Free And Open Source Software
Programming Languages And Libraries
面向新型硬件构架的新一代GIS基础并行算法研究
期刊论文
OAI收割
地理与地理信息科学, 2013, 卷号: 29, 期号: 4, 页码: 1
作者:
吴立新
;
杨宜舟
;
秦承志
;
张树清
;
张立强
  |  
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/05/29
hardware architecture
parallel algorithm
vector data
raster data
high performance
HiGIS
硬件构架
并行算法
矢量
栅格
高性能
HiGIS
面向新型硬件构架的新一代GIS基础并行算法研究
期刊论文
OAI收割
地理与地理信息科学, 2013, 卷号: 29, 期号: 4, 页码: 1
作者:
吴立新
;
杨宜舟
;
秦承志
;
张树清
;
张立强
  |  
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/05/20
hardware architecture
parallel algorithm
vector data
raster data
high performance
HiGIS
硬件构架
并行算法
矢量
栅格
高性能
HiGIS
The Research of real time auto-recognition of the moire fringe (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, May 24, 2011 - May 26, 2011, Beijing, China
Wang M.-J.
;
Wu Z.-G.
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2013/03/25
Measuring the movement of raster by the method of moire fringe has the advantage of high sensitivity
high resolution and non-contacted measurement. The characteristic of moire fringe is that the image is white alternate with black
the angle of the stripes is uniform
the width of the stripes is uniform
the terminators of the stripes aren't clear. A fast method that can figure out the width and angle of the moire fringe precisely is put forward in this paper. It calculates the angle the stripes firstly. According to the principle of the minimum mean squared error (MMSE)
the closer a series of data is
the smaller the value of the MMSE will be. The method is described as follows: It takes the image's center as the origin
180 beelines pass through the origin with the same angle interval. it calculates the value of the minimum mean squared error of the 180 beelines and find out the least one among those
then the angle of the moire fringe comes out primarily. In order to improving the calculating precision of moire fringe
60 equal angles are divided in the neighborhood of the angle
then a precise angle of moire fringe is calculated according to the principle of the MMSE. After getting out the angle of the moire fringe
we begin to calculate the width of moire fringe. A line vertical with the moire fringe is drawn
and we can get the width of the moire fringe by the vertical line. In order to get over the influence of the noise
an effective area with the shape of diamond is selected in the image. The data of area is accumulated and projected according to the direction of moire fringe
and a sine curve come out. The width of moire fringe can be obtained by getting the position of the first wave crest
the position of the last wave crest and the number of wave crest. Experiments prove that the precision of the method put forward in this paper is enhanced in comparison with the traditional frequency method
the precision of width calculation achieves to 99.6% according to the evaluation indicators of width detection error. The computing speed is boosted largely compared with traditional method
and it can achieve with 15 ms
that satisfying the demand of real time. 2011 SPIE.
The models of the accuracy loss during rasterizing landuse vector data with multi-scale grid size
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
Yang, CJ
;
Liu, JY
;
Zhang, ZX
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2014/12/07
landuse
vector data
raster data
accuracy loss model