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Assessing changes in the value of ecosystem services in response to land-use/land-cover dynamics in Nigeria 期刊论文  OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 卷号: 636, 期号: 2018, 页码: 597-609
作者:  
Arowolo, Aisha Olushola;  Deng, Xiangzheng;  Olatunji, Olusanya Abiodun;  Obayelu, Abiodun Elijah
  |  收藏  |  浏览/下载:38/0  |  提交时间:2020/12/24
Incorporating ecosystem services into agricultural management based on land use/cover change in Northeastern China 期刊论文  OAI收割
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 卷号: 144, 页码: 401-411
作者:  
Zhan, Jinyan;  Chu, Xi;  Li, Zhihui;  Jia, Siqi;  Wang, Guofeng
  |  收藏  |  浏览/下载:59/0  |  提交时间:2019/09/24
Incorporating ecosystem services into agricultural management based on land use/cover change in Northeastern China 期刊论文  OAI收割
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2019, 卷号: 144, 页码: 401-411
作者:  
Zhan, Jinyan;  Chu, Xi;  Li, Zhihui;  Jia, Siqi;  Wang, Guofeng
  |  收藏  |  浏览/下载:23/0  |  提交时间:2019/09/24
Assessing changes in the value of ecosystem services in response to land-use/land-cover dynamics in Nigeria 期刊论文  OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 636, 页码: 597-609
作者:  
Arowolo, Aisha Olushola;  Deng, Xiangzheng;  Olatunji, Olusanya Abiodun;  Obayelu, Abiodun Elijah
  |  收藏  |  浏览/下载:46/0  |  提交时间:2019/05/23
Assessing changes in the value of ecosystem services in response to land-use/land-cover dynamics in Nigeria 期刊论文  OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 636, 页码: 597-609
作者:  
Arowolo, Aisha Olushola;  Deng, Xiangzheng;  Olatunji, Olusanya Abiodun;  Obayelu, Abiodun Elijah
  |  收藏  |  浏览/下载:16/0  |  提交时间:2019/05/23
Assessing changes in the value of ecosystem services in response to land-use/land-cover dynamics in Nigeria 期刊论文  OAI收割
SCIENCE OF THE TOTAL ENVIRONMENT, 2018, 卷号: 636, 页码: 597-609
作者:  
Arowolo, Aisha Olushola;  Deng, Xiangzheng;  Olatunji, Olusanya Abiodun;  Obayelu, Abiodun Elijah
  |  收藏  |  浏览/下载:15/0  |  提交时间:2019/05/23
Evaluation of ecosystem services: A case study in the middle reach of the Heihe River Basin, Northwest China SCI/SSCI论文  OAI收割
2015
作者:  
Li H. J.;  Li, Z. H.;  Yu, J.;  Liu, B.
  |  收藏  |  浏览/下载:27/0  |  提交时间:2017/11/09
LOCAL MULTILEVEL METHODS FOR SECOND-ORDER ELLIPTIC PROBLEMS WITH HIGHLY DISCONTINUOUS COEFFICIENTS 期刊论文  OAI收割
JOURNAL OF COMPUTATIONAL MATHEMATICS, 2012, 卷号: 30, 期号: 3, 页码: 223-248
作者:  
Chen Huangxin;  Xu Xuejun;  Zheng Weiying
  |  收藏  |  浏览/下载:22/0  |  提交时间:2021/01/14
Space optical remote sensor of the CAE thermal control index calculation method (EI CONFERENCE) 会议论文  OAI收割
2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011, September 16, 2011 - September 18, 2011, Guangzhou, China
作者:  
Li L.
收藏  |  浏览/下载:25/0  |  提交时间:2013/03/25
The thermal control indicators CAE methods of Space optical remote sensor are analyzed in the presented work. We sat up a thermal optical analysis model for space optical remote sensor. By assuming fully covered by in-orbit temperature load  and using the finite element method for thermal deformation analysis  we obtained the optical remote sensor surface deformation and displacement under various thermal loading. Using ZERNIKE polynomial  wave was fitted to obtain ZERNIKE polynomial coefficients which were incorporated into the optical system design. Using CODE V optical calculation software  heat-ray machines under elastic deformation of the system point spread function  transfer function (MTF)  wave front differential (WFE) etc. were calculated. Image quality changes of remote sensors are discussed in variety assumed cases such as temperature loads of quality change. By repeated iteration  critical value of temperature fields meeting the design requirements are obtained for the optical system. Optical indicators were converged to the temperature field indicator  then reasonable indicators of thermal control for remote sensors were obtained. For the thermal control design  this method provided a reliable basis for design. (2011) Trans Tech Publications  Switzerland.  
Multi-focus image fusion algorithm based on adaptive PCNN and wavelet transform (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
Wu Z.-G.; Wang M.-J.; Han G.-L.
收藏  |  浏览/下载:75/0  |  提交时间:2013/03/25
Being an efficient method of information fusion  image fusion has been used in many fields such as machine vision  medical diagnosis  military applications and remote sensing.In this paper  Pulse Coupled Neural Network (PCNN) is introduced in this research field for its interesting properties in image processing  including segmentation  target recognition et al.  and a novel algorithm based on PCNN and Wavelet Transform for Multi-focus image fusion is proposed. First  the two original images are decomposed by wavelet transform. Then  based on the PCNN  a fusion rule in the Wavelet domain is given. This algorithm uses the wavelet coefficient in each frequency domain as the linking strength  so that its value can be chosen adaptively. Wavelet coefficients map to the range of image gray-scale. The output threshold function attenuates to minimum gray over time. Then all pixels of image get the ignition. So  the output of PCNN in each iteration time is ignition wavelet coefficients of threshold strength in different time. At this moment  the sequences of ignition of wavelet coefficients represent ignition timing of each neuron. The ignition timing of PCNN in each neuron is mapped to corresponding image gray-scale range  which is a picture of ignition timing mapping. Then it can judge the targets in the neuron are obvious features or not obvious. The fusion coefficients are decided by the compare-selection operator with the firing time gradient maps and the fusion image is reconstructed by wavelet inverse transform. Furthermore  by this algorithm  the threshold adjusting constant is estimated by appointed iteration number. Furthermore  In order to sufficient reflect order of the firing time  the threshold adjusting constant is estimated by appointed iteration number. So after the iteration achieved  each of the wavelet coefficient is activated. In order to verify the effectiveness of proposed rules  the experiments upon Multi-focus image are done. Moreover  comparative results of evaluating fusion quality are listed. The experimental results show that the method can effectively enhance the edge details and improve the spatial resolution of the image. 2011 SPIE.