作者机构：
[Xia Tian; Zhou Yong] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.;[Zhang Hai-tao] Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China.
会议名称：
International Conference on Ecological Protection of Lakes-Wetlands-Watershed and Application of 3S Technology (EPLWW3S 2011)
会议时间：
JUN 25-26, 2011
会议地点：
Nanchang, PEOPLES R CHINA
会议主办单位：
[Xia Tian;Zhou Yong] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.^[Zhang Hai-tao] Huazhong Agr Univ, Coll Resources & Environm, Wuhan, Peoples R China.
关键词：
Hyper-spectral;Wheat;FPAR;estimation
摘要：
After analyzing the dynamic development regulation between wheat Canopy Spectra and RPAR at different growth stages, we studies the quantitative relationship between wheat Canopy Spectra and RPAR in order to build the models which can predict the value of wheat FPAR in different areas through the technology of hyper-spectral remote sensing.We selected the Houhu County in Qianjiang City Hubei Province and Changqing County of Jinan City,Shandong Province as the test areas, and collected reflection spectrum and the FPAR value of Zhengmai 9023,Wanmai 369, Linmai 2,Wenqian 1 and Tainong 18 respectively as the database for analysis. By regression analyzing, we find that the correlation coefficientbetween NDVI and FPAR reach 0.889 and create prediction models between 6 vegetation indexes (RVI,DVLNDVI,GRVI,EVI and SAVI) and FPAR. Tests on the accuracy of the 6 prediction models indicate that The NDVI log-additive model have the highest accuracy for predicting FPAR. We use the sample data collected in Houhu County and Changqing County to validate the precision of the model, which shows the NDVI log-additive estimating model is suitable for predicting FPAR of different wheat variety indifferent areas and can provide an accurate technique for monitoring the growth of wheat and estimating the yields.
摘要：
The land use structure changes during 2000-2005 in agricultural landscape in Jianghan Plain are described, using following indices: landscape percentage (%LAND), patch density (PD), mean patch size (MPS), total edge length (TE), mean shape index (MSI) and landscape shape index (LSI). The spatial land use data was from land use database of CAS. Through interpreting Landsat TM images of 2000 and 2005 respectively, the land use change data was extracted to describe the overall agricultural landscape structure changes during 2000-2005 by spatial analysis with Supermap platform. The results show that arable land, woodland and unused land have decreased while the grassland, water areas and construction land have increased. The noticeable changes are the decreased arable land and the increase in lakes, reservoirs and ponds. Amongst the landscape indices are the increases in MPS and MSI and the decreases in PD, TE and LSI. The indices suggest that the agricultural landscape in the study area becomes less fragmental and heterogeneous resulting from intensification of agriculture and agricultural mechanization. The study shows that the changes in the agricultural landscape pattern are caused not only by urbanization but also by the governmental policies, such as the conversion of farmland to lakes, agricultural restructuring and land development and arrangement.
作者机构：
[周勇; 李畅] College of Urban and Environmental Science, Huazhong Normal University, 152 Luoyu Road, Wuhan 430079, China;[胡敏] School of Economics and Management, China University of Geosciences, 388 Lumo Road, Wuhan 430074, China;[胡敏] Communications Command Academy, 45 Jiefanggongyuan Road, Wuhan 430010, China;[刘亚文] School of Remote Sensing and Information Engineering, Wuhan University, 129 Luoyu Road, Wuhan 430079, China
通讯机构：
College of Urban and Environmental Science, Huazhong Normal University, 152 Luoyu Road, China
作者机构：
[Zhou, Yong; Li, Chang] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
会议名称：
2nd International Conference on Computer and Automation Engineering (ICCAE)
会议时间：
FEB 26-28, 2010
会议地点：
Singapore, SINGAPORE
会议主办单位：
[Li, Chang;Zhou, Yong] Huazhong Normal Univ, Coll Urban & Environm Sci, Wuhan, Peoples R China.
会议论文集名称：
International Conference on Computer and Automation Engineering
关键词：
3D reconstruction;street elevation;line matching;orientation elements;auto-rectifying;auto-mosaiking;autorecognizing
摘要：
3D reconstruction based on high-level features, such as line and plane, is a significant development trend in Digital Photogrammetry and Computer Vision. Moreover how to rapidly realize 3D visualization of street landscape is very important for cyber city's 3D modeling. In order to improve efficiency of street 3D visualization and reduce humancomputer interaction, a scheme with high feasible and high automatic approach to auto-reconstruct 3D street elevation is presented by means of line matching solving orientation elements by vanishing point auto-rectifying and automosaiking large obliquity-angle close-range sequential images auto-recognizing concavo-convex edge of street elevation. Our approach for 3D-reconstruction bases on the feature of line and plane, which is also independent of model parameter vectogram or assistant of space point cloud. Experimental results prove that reconstructed 3D modeling is correctness, effectiveness and feasibleness by our method, which has high degree of automation and should be able to meet the need of rapidly visualizing 3D street elevation landscape.
