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CAS IR Grid
机构
长春光学精密机械与物... [7]
地理科学与资源研究所 [5]
新疆理化技术研究所 [1]
沈阳自动化研究所 [1]
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OAI收割 [14]
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会议论文 [8]
期刊论文 [5]
SCI/SSCI论文 [1]
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2020 [1]
2018 [4]
2013 [2]
2012 [1]
2010 [2]
2009 [1]
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Group pooling for deep tourism demand forecasting
期刊论文
OAI收割
ANNALS OF TOURISM RESEARCH, 2020, 卷号: 82, 期号: 5, 页码: 2899-2899
作者:
Zhang, YS (Zhang, Yishuo)[ 1,2 ]
;
Li, G (Li, Gang)[ 1,2 ]
;
Muskat, B (Muskat, Birgit)[ 3 ]
;
Law, R (Law, Rob)[ 4 ]
;
Yang, Y (Yang, Yating)[ 2 ]
  |  
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2020/07/06
Tourism demand forecasting
AI-based methodology
Group-pooling method
Deep-learning model
Tourism demand similarity
Asia Pacific travel patterns
Quantitative Assessment of Regional Debris-Flow Risk: A Case Study in Southwest China
期刊论文
OAI收割
SUSTAINABILITY, 2018, 卷号: 10, 期号: 7, 页码: 21
作者:
Liu, Guangxu
;
Dai, Erfu
;
Xu, Xinchuang
;
Wu, Wenxiang
;
Xiang, Aicun
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2019/05/23
debris flows
fragility rate
risk
similarity-based method
Southwest China
Identification of representative samples from existing samples for digital soil mapping
期刊论文
OAI收割
GEODERMA, 2018, 卷号: 311, 页码: 109-119
作者:
An Yiming
;
Yang Lin
;
Zhu A-Xing
;
Qin Chengzhi
;
Shi JingJing
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2019/05/30
Digital soil mapping
Similarity based method under soil-landscape inference model (SoLIM)
Representative samples
Identification of representative samples from existing samples for digital soil mapping
期刊论文
OAI收割
GEODERMA, 2018, 卷号: 311, 页码: 109-119
作者:
An Yiming
;
Yang Lin
;
Zhu A-Xing
;
Qin Chengzhi
;
Shi JingJing
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/05/30
Digital soil mapping
Similarity based method under soil-landscape inference model (SoLIM)
Representative samples
Identification of representative samples from existing samples for digital soil mapping
期刊论文
OAI收割
GEODERMA, 2018, 卷号: 311, 页码: 109-119
作者:
An Yiming
;
Yang Lin
;
Zhu A-Xing
;
Qin Chengzhi
;
Shi JingJing
  |  
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2019/05/30
Digital soil mapping
Similarity based method under soil-landscape inference model (SoLIM)
Representative samples
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:22/0
  |  
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 similarity-based quantitative model for assessing regional debris-flow hazard
SCI/SSCI论文
OAI收割
2013
Liu G. X.
;
Dai E. F.
;
Ge Q. S.
;
Wu W. X.
;
Xu X. C.
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2014/12/24
Similarity-based method
Debris-flow hazard
Yunnan Province
Disaster
hazard
yunnan province
risk-assessment
network
china
The shape edge measure of automobile airbag based on image processing (EI CONFERENCE)
会议论文
OAI收割
2012 IEEE 5th International Conference on Advanced Computational Intelligence, ICACI 2012, October 18, 2012 - October 20, 2012, Nanjing, China
作者:
Li Y.
;
Wang Z.
;
Wang Z.
;
Li Y.
;
Li Y.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
At present
micrometer is used for measure the shape edge of automobile airbag. There are some shortcomings in this method. The number of test points is limited. Test data is not comprehensive. Detection speed is slow and a fixture can only test a kind of airbag. The method of airbag shape edge detection based on image processing is researched in this paper. The image of airbag is collected by CCD
and then it is sent to the computer to be processed and segmented. The edge of image is extracted through Canny edge detection algorithm in order to acquire shape edge of airbag in this paper
and the image similarity degree are calculated to provide the information of matching in the template matching process. Finally the comprehensive test shape edge of airbag is realized. The experimental results show that the detection method is effective feasible
intuitive and clear. 2012 IEEE.
Earth elevation map production and high resolution sensing camera imaging analysis (EI CONFERENCE)
会议论文
OAI收割
Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China
作者:
Dai L.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
The Earth's digital elevation which impacts space camera imaging has prepared and imaging has analysed. Based on matching error that TDI CCD integral series request of the speed of image motion
statistical experimental methods-Monte Carlo method is used to calculate the distribution histogram of Earth's elevation in image motion compensated model which includes satellite attitude changes
orbital angular rate changes
latitude
longitude and the orbital inclination changes. And then
elevation information of the earth's surface from SRTM is read. Earth elevation map which produced for aerospace electronic cameras is compressed and spliced. It can get elevation data from flash according to the shooting point of latitude and longitude. If elevation data between two data
the ways of searching data uses linear interpolation. Linear interpolation can better meet the rugged mountains and hills changing requests. At last
the deviant framework and camera controller are used to test the character of deviant angle errors
TDI CCD camera simulation system with the material point corresponding to imaging point model is used to analyze the imaging's MTF and mutual correlation similarity measure
simulation system use adding cumulation which TDI CCD imaging exceeded the corresponding pixel horizontal and vertical offset to simulate camera imaging when stability of satellite attitude changes. This process is practicality. It can effectively control the camera memory space
and meet a very good precision TDI CCD camera in the request matches the speed of image motion and imaging. 2010 SPIE.
Real-time defogging processing of aerial images (EI CONFERENCE)
会议论文
OAI收割
2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010, September 23, 2010 - September 25, 2010, Chengdu, China
作者:
Liu G.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
A real-time image defogging processing method based on FPGA is proposed to increase low-contrast of the aerial images in foggy vision conditions. According to the high similarity of the contiguous frame histogram in video image
the histogram equalization algorithm is improved to enhance the image contrast. The median filter algorithm is used to eliminate the noise of the image. The experimental results demonstrate that the method can efficiently enhance the contrast
strengthen the detail and clarify definition for the fog-degraded aerial images. The visibility limit of the images has been increased to a time above. Simultaneously the method satisfies the real-time processing requirement of aerial video images
which has direct applications to the problem of poor visibility conditions. 2010 IEEE.