中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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Estimation for Refined Carbon Storage of Urban Green Space and Minimum Spatial Mapping Scale in a Plain City of China 期刊论文  OAI收割
REMOTE SENSING, 2024, 卷号: 16, 期号: 2, 页码: 16
作者:  
Li, Nan;  Deng, Liang;  Yan, Ge;  Cao, Mengmeng;  Cui, Yaoping
  |  收藏  |  浏览/下载:21/0  |  提交时间:2024/03/01
基于成像高光谱的蚀变信息识别及尺度影响研究 学位论文  OAI收割
北京: 中国科学院大学, 2019
作者:  
梁丹迪
  |  收藏  |  浏览/下载:54/0  |  提交时间:2021/12/10
Influence of reconstruction scale, spatial resolution and pixel spatial relationships on the sub-pixel mapping accuracy of a double-calculated spatial attraction model 期刊论文  OAI收割
REMOTE SENSING OF ENVIRONMENT, 2018, 卷号: 210, 页码: 345-361
作者:  
Wu, Shangrong;  Ren, Jianqiang;  Chen, Zhongxin;  Jin, Wujun;  Liu, Xingren
  |  收藏  |  浏览/下载:46/0  |  提交时间:2019/05/23
Hybrid Constraints of Pure and Mixed Pixels for Soft-Then-Hard Super-Resolution Mapping With Multiple Shifted Images SCI/SSCI论文  OAI收割
2015
作者:  
Chen Y. H.;  Ge, Y.;  Heuvelink, G. B. M.;  Hu, J. L.;  Jiang, Y.
收藏  |  浏览/下载:31/0  |  提交时间:2015/12/09
Disaggregating and harmonising soil map units through resampled classification trees SCI/SSCI论文  OAI收割
2014
Odgers N. P.; Sun W.; Mcbratney A. B.; Minasny B.; Clifford D.
收藏  |  浏览/下载:30/0  |  提交时间:2014/12/24
Spatial-scale effect on the SEBAL model for evapotranspiration estimation using remote sensing data SCI/SSCI论文  OAI收割
2013
Tang R. L.; Li Z. L.; Chen K. S.; Jia Y. Y.; Li C. R.; Sun X. M.
收藏  |  浏览/下载:34/0  |  提交时间:2014/12/24
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:78/0  |  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.  
Multi-scale digital terrain analysis and feature selection for digital soil mapping SCI/SSCI论文  OAI收割
2010
Behrens T.; Zhu A. X.; Schmidt K.; Scholten T.
收藏  |  浏览/下载:30/0  |  提交时间:2012/06/08
Measuring long-term ecological changes in densely populated landscapes using current and historical high resolution imagery SCI/SSCI论文  OAI收割
2006
Ellis E. C.; Wang H. Q.; Xiao H. S.; Peng K.; Liu X. P.; Li S. C.; Ouyang H.; Cheng X.; Yang L. Z.
收藏  |  浏览/下载:22/0  |  提交时间:2012/06/08
Measuring long-term ecological changes in densely populated landscapes using current and historical high resolution imagery 期刊论文  OAI收割
Remote Sensing of Environment, 2006, 卷号: 100, 期号: 4, 页码: 457-473
作者:  
Ellis E. C.;  Wang H. Q.;  Xiao H. S.;  Peng K.;  Liu X. P.
  |  收藏  |  浏览/下载:31/0  |  提交时间:2012/06/08