中国科学院机构知识库网格系统: 检索

浏览/检索结果: 共6条，第1-6条

帮助

条数/页：排序方式：
	An integrated accounting system of quantity, quality and value for assessing cultivated land resource assets: A case study in Xinjiang, China 期刊论文 OAI收割 GLOBAL ECOLOGY AND CONSERVATION, 2022, 卷号: 36, 页码: 19 作者: Zhang, Ruqian; Li, Penghui; Xu, Liping; Zhong, Shuai; Wei, Hong \| 收藏 \| 浏览/下载：21/0 \| 提交时间：2022/09/21 Cultivated land resource asset Physical quantity Value quantity Calorific value Xinjiang
	An integrated accounting system of quantity, quality and value for assessing cultivated land resource assets: A case study in Xinjiang, China 期刊论文 OAI收割 GLOBAL ECOLOGY AND CONSERVATION, 2022, 卷号: 36, 页码: 19 作者: Zhang, Ruqian; Li, Penghui; Xu, Liping; Zhong, Shuai; Wei, Hong \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2022/09/21 Cultivated land resource asset Physical quantity Value quantity Calorific value Xinjiang
	Hydroeconomic optimization of reservoir management under downstream water quality constraints SCI/SSCI论文 OAI收割 2015 作者: Davidsen C.; Liu, S. X.; Mo, X. G.; Holm, P. E.; Trapp, S. 收藏 \| 浏览/下载：43/0 \| 提交时间：2015/12/09 Integrated water resources management (IWRM) Hydroeconomic modeling Stochastic dynamic programming (SDP) Water quality management Water value River basin north china plain dynamic-programming models river-basin management conjunctive use surface-water groundwater allocation framework quantity conflict
	Real-time adjusting of yaw angle of space camera based on General Image-Quality Equation (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009, October 10, 2009 - October 11, 2009, Changsha, Hunan, China 作者: Wang J.; He X.; Xu S. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 A Strategy of Real-Time Adjusting of Yaw Angle (SRTAYA) of space camera was proposed base on General Image-Quality Equation (GIQE). During space camera imaging yaw angle which is caused by rotation of the earth and the gesture changing of satellite impacts integral aspect of TDI (Time Delay and Integration) CCD (Charge Couple Device) so that the image quality degrades. For extending imaging time of space camera and enhancing image quality yaw angle must be adjusted. The descending value of GIQE reflects the degrading quantity of image quality. The SRTAYA calculated an acceptable augmenting value of yaw angle according with a specific value of GIQE which the degrading of image quality can't be neglected no longer. The example which actualized a practical orbit of satellite illuminated that the SRTAYA could limit the value of yaw angle less than 318.45". 2009 IEEE.
	Space camera focusing forecast based on RBF network (EI CONFERENCE) 会议论文 OAI收割 Computational Intelligence and Intelligent Systems: 4th International Symposium, ISICA 2009, Huangshi, China, October 23-25, 2009. Proceedings, Tiergartenstrasse 17, Heidelberg, D-69121, Germany 作者: Liu J.; Yu D.; Yu D.; Liu J.; Liu J. 收藏 \| 浏览/下载：24/0 \| 提交时间：2013/03/25 As circumstance temperature of space camera changes flex of structural components and distortion of optical components lead to change of focal length and image quality. Radial Basis Function (RBF) network is used to approximate the complex nonlinear relation between focalization quantity image quality temperature level and axial temperature difference of space camera. After the RBF Network is trained with thermo-optical experiment data temperature level and axial temperature difference could be input to the network to obtain colder value of best image position. In this way focusing forecast under different temperatures can be realized. Results of focusing forecast experiment validate this method. 2009 Springer-Verlag Berlin Heidelberg.
	Aerial image blurring caused by image motion and its restoration using wavelet transform (EI CONFERENCE) 会议论文 OAI收割 Electronic Imaging and Multimedia Technology IV, November 8, 2004 - November 11, 2004, Beijing, China 作者: Liu G. 收藏 \| 浏览/下载：31/0 \| 提交时间：2013/03/25 A wavelet-based approach of aerial blurred image restoration is proposed in this article. Image motion is inevitable in photographing for aerospace camera. Though some Image Motion Compensation(IMC) schemes are applied in aerial imaging system the ultimate image will be blurred in certain extent for the existence of IMC residual error while the forward image motion is the key element among all image motions which lead to image blurring. First the course of blurring caused by forward image motion is expressed using wavelet transform and a multiresolution sparse matrix representation of the degeneration model is obtained according to the wavelet transform. Subsequently a regularizing restoration algorithm is deduced from it and which can smoothly restraint the processed result efficiently. In the end the proposed approach is tested in MATLAB. The blurred image is restored using above-mentioned wavelet algorithm conventional contrary filter and Wiener filter algorithm separately. The conclusion that the wavelet-based restoration algorithm is superior to other two approaches is obtained by comparing the restored image's value of mean gradient. The calculating quantity of the wavelet-based blurred image restoration approach isn't large and it has good practicability in the field of image interpretation and aerial survey or drawing.