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1. Secure service model for remotely sensed data in cloud computing | |||
Xu Zhengquan,Xiong Lizhi | |||
Surveying and Mapping Technology 16 May 2016 | |||
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Abstract:Remotely sensed data sharing services are attracting more and more attention. Advanced cloud computing technologies provide huge storage and efficient support for remotely sensed big data services. However, the security of stored remotely sensed data and usage security in the cloud computing environment have become urgent issues. To address these problems we propose a secure model for remote sensing images (RSIs) in the cloud computing environment. The proposed model not only ensures RSI security without relying on the trustworthiness of cloud servers, but also protects RSI copyrights. Theoretical analysis confirms the correctness of the proposed encryption model and justifies the security of the proposed scheme. | |||
TO cite this article:Xu Zhengquan,Xiong Lizhi. Secure service model for remotely sensed data in cloud computing[OL].[16 May 2016] http://en.paper.edu.cn/en_releasepaper/content/4691102 |
2. A flow to generate DEM from Lidar data | |||
Lai Xudong,Zheng Xuedong,Jiang Junwei | |||
Surveying and Mapping Technology 01 July 2009 | |||
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Abstract:To consume less time and less memory, this paper presents a flow to generate DEM from Lidar data. Firstly the flow labels non-ground points based on multi-echo information. Secondly by the relativity among neighbor points, the flow labels many other non-ground points. After these two up-to-down steps, many non-ground points have been eliminated, which has reduced the amount of the Lidar points successful. At last, the flow use filtering arithmetic based on scan lines to get DEM. This paper comes to a conclusion that both the flow and algorithm are feasible by using them to disposing laboratory data. | |||
TO cite this article:Lai Xudong,Zheng Xuedong,Jiang Junwei. A flow to generate DEM from Lidar data[OL].[ 1 July 2009] http://en.paper.edu.cn/en_releasepaper/content/33552 |
3. Application of wavelet analysis in signal de-noising | |||
Lv Lilei,Gong Wei,Song Shalei,Zhu Bo ,Zhang Daoxi | |||
Surveying and Mapping Technology 03 April 2009 | |||
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Abstract:In this paper, a novel lidar system has been proposed and developed using two low power laser to make horizontal-path laser measurement of vegetation. We focus on the de-noising process of this new sensor by using wavelet analysis, and the experiments have been down to testify this theory, the results also show its validity in active laser detection. | |||
TO cite this article:Lv Lilei,Gong Wei,Song Shalei, et al. Application of wavelet analysis in signal de-noising[OL].[ 3 April 2009] http://en.paper.edu.cn/en_releasepaper/content/31063 |
4. Calibration models of Digital Cameras images | |||
Du Lili | |||
Surveying and Mapping Technology 13 March 2006 | |||
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Abstract:This design compares three models for determining the internal and external parameters of a digital camera, included the model of considering the horizontal and vertical correction, the model of adding affinity deformation, the model of Luca Lucchese. In this paper, the work is that judging three models by the distortion coefficient, residuary distortion, the accuracy of examining spots .The results of the experiment suggest that the method of considering the horizontal and vertical correction has the better stabilization and veracity of distortion calibration. This model can still calibration the ordinary digital camera images well on the condition of only a little points for controlling, so it has the better usefulness in the practice | |||
TO cite this article:Du Lili. Calibration models of Digital Cameras images[OL].[13 March 2006] http://en.paper.edu.cn/en_releasepaper/content/5656 |
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