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Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [6]
地理科学与资源研究所 [4]
新疆生态与地理研究所 [1]
生态环境研究中心 [1]
采集方式
OAI收割 [12]
内容类型
会议论文 [6]
期刊论文 [4]
学位论文 [2]
发表日期
2024 [1]
2022 [1]
2020 [2]
2019 [1]
2017 [1]
2011 [1]
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学科主题
人文地理学 [1]
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The time-advance effect of China's rooftop solar photovoltaics program on the dual carbon targets and its implication on the globe
期刊论文
OAI收割
SUSTAINABLE CITIES AND SOCIETY, 2024, 卷号: 111, 页码: 105593
作者:
Lu, Hong-Wei
;
Yan, Yi-Ming
;
Liang, Dong-Zhe
;
Duan, Xu
;
Li, Heng-Chen
  |  
收藏
  |  
浏览/下载:24/0
  |  
提交时间:2024/08/22
Rooftop solar photovoltaics
Carbon peak
Carbon neutrality
Time-advance effect
Key area
Simultaneously tackling ecological degradation and poverty challenges: Evidence from desertified areas in northern China
期刊论文
OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2022, 卷号: 815, 页码: 13
作者:
Liu, Shidong
;
Zhang, Jianjun
;
Zhang, Jie
;
Guo, Yiqiang
  |  
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/09/21
Desertification prevention
Ecological policy
National key ecological functional area
Poverty
Sustainable development
粤港澳大湾区优化发展的关键要素特征及其功能升级
期刊论文
OAI收割
地理研究, 2020, 卷号: 39, 期号: 9, 页码: 2015
作者:
康蕾
;
刘毅
  |  
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/03/16
industry
population
innovation
function upgrade
key element
the Guangdong- Hong Kong-Macao Greater Bay Area
产业
人口
创新
关键要素
功能升级
粤港澳大湾区
粤港澳大湾区优化发展的关键要素特征及其功能升级
期刊论文
OAI收割
地理研究, 2020, 卷号: 39, 期号: 9, 页码: 2015
作者:
康蕾
;
刘毅
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/03/16
industry
population
innovation
function upgrade
key element
the Guangdong- Hong Kong-Macao Greater Bay Area
产业
人口
创新
关键要素
功能升级
粤港澳大湾区
基于主体功能区的区域可持续发展协调性分析——以新疆北疆为例
学位论文
OAI收割
北京: 中国科学院大学, 2019
作者:
钟佳利
  |  
收藏
  |  
浏览/下载:86/0
  |  
提交时间:2021/12/10
主体功能区
可持续发展
协调发展度模型
关键影响因素
Main Functional Area
Sustainable Development
Coordinated Development Model
Key Influencing Factor
基于GEP核算的国家重点生态功能区生态保护成效评估—以甘孜州、习水县为例
学位论文
OAI收割
北京: 中国科学院生态环境研究中心, 2017
作者:
白玛卓嘎
  |  
收藏
  |  
浏览/下载:45/0
  |  
提交时间:2018/06/21
国家重点生态功能区
生态系统生产总值
National Key Ecological Function Area
生态保护成效
Gross Ecosystem Product (Gep)
生态系统格局
Ecological Conservation Effectiveness
生态系统质量
Ecosystem Pattern
Ecosystem Quality
Research on infrared dim-point target detection and tracking under sea-sky-line complex background (EI CONFERENCE)
会议论文
OAI收割
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, May 24, 2011 - May 24, 2011, Beijing, China
作者:
Dong Y.-X.
;
Zhang H.-B.
;
Li Y.
;
Li Y.
;
Li Y.
收藏
  |  
浏览/下载:111/0
  |  
提交时间:2013/03/25
Target detection and tracking technology in infrared image is an important part of modern military defense system. Infrared dim-point targets detection and recognition under complex background is a difficulty and important strategic value and challenging research topic. The main objects that carrier-borne infrared vigilance system detected are sea-skimming aircrafts and missiles. Due to the characteristics of wide field of view of vigilance system
the target is usually under the sea clutter. Detection and recognition of the target will be taken great difficulties.There are some traditional point target detection algorithms
such as adaptive background prediction detecting method. When background has dispersion-decreasing structure
the traditional target detection algorithms would be more useful. But when the background has large gray gradient
such as sea-sky-line
sea waves etc.The bigger false-alarm rate will be taken in these local area.It could not obtain satisfactory results. Because dim-point target itself does not have obvious geometry or texture feature
in our opinion
from the perspective of mathematics
the detection of dim-point targets in image is about singular function analysis.And from the perspective image processing analysis
the judgment of isolated singularity in the image is key problem. The foregoing points for dim-point targets detection
its essence is a separation of target and background of different singularity characteristics.The image from infrared sensor usually accompanied by different kinds of noise. These external noises could be caused by the complicated background or from the sensor itself. The noise might affect target detection and tracking. Therefore
the purpose of the image preprocessing is to reduce the effects from noise
also to raise the SNR of image
and to increase the contrast of target and background. According to the low sea-skimming infrared flying small target characteristics
the median filter is used to eliminate noise
improve signal-to-noise ratio
then the multi-point multi-storey vertical Sobel algorithm will be used to detect the sea-sky-line
so that we can segment sea and sky in the image. Finally using centroid tracking method to capture and trace target. This method has been successfully used to trace target under the sea-sky complex background. 2011 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).
Station mode for attitude determination of small-multi-target with high speed (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China
作者:
Wang J.
;
Zhao L.
;
Li M.
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2013/03/25
A key problem of attitude measurement of small-multi-target with high speed is how to decide the optimum of the CMOS stations. A multi-CMOS station mode is designed in this paper
multiple CMOS videos were placed on two parallel sides in measurement system
every two CMOS form an intersection viewing field
multiple viewing field join to cover shooting range
which can augment Effective Viewing Field(EVF)
increase capture ratio of objects with high speed and measurement precision of small objects. When an object passes through the joint area
it will be imaged separately on each CMOS focal plane. Multiple CMOS videos were triggered synchronously
a sequence of image information was extracted
the target attitude was confirmed by digital image processing technology. The merit of station mode is low cost
large measurement scope
extending freely and so on. 2010 IEEE.
Dynamic data fixing for IR target radiation characteristics (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
Lihua C.
;
Juan C.
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2013/03/25
The main methods to measure the target IR features are the following two ways: test and then measurement
or theoretical and simulation calculation. The former is direct measurement so the results are more accurate but the test is costly and complicated
so that it is limited in the application. Theoretical and simulation calculation are widely used in the target IR radiation calibration. Here we give the basic configuration of the calibration platform for measuring the IR radiation of the large area low temperature blackbody source
and discuss the calibration flowchart and key technologies for atmospheric transmission correction. The dynamic data are analyzed in real time to determine the IR radiation features in the data fusion subsystem
and the experimental results show that the calibration method is feasible and practical. 2010 IEEE.
Real-time motive vehicle detection with adaptive background updating model and HSV colour space (EI CONFERENCE)
会议论文
OAI收割
4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, November 19, 2008 - November 21, 2008, Chengdu, China
Rong-Hui Z.
;
Bai Y.
;
Hong-guang J.
;
Chen T.
收藏
  |  
浏览/下载:67/0
  |  
提交时间:2013/03/25
In the transportation monitor system
we set up the area of interest (AOI) of the vehicle model and adjust the size of AOI dynamically in order to track vehicle accurately. The results of experiment show that
motive vehicle detection by adopting digital image is one of key technologies. To detect motive vehicle accurately
the arithmetic proposed in the paper can suppress shadow availably
we establish an adaptive background updating model firstly. Noise is suppressed by using modality filter
detect motive vehicle accurately and satisfy real-time motive vehicle tracking. 2009 SPIE.
and we obtain binary image by using maximum entropy to choose dynamic adaptive threshold. Based on positive information of shadow and aspect feature of motive vehicle
we adopt HSV colour space and double threshold to solve the problem of vehicle shadow. According to prediction result of Kalman filtering