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Research on the Field Information Extraction by RS on Various Scales

Author: XuHao
Tutor: WangZuo
School: Zhejiang University
Course: Utilization of Agricultural Resources
Keywords: Precision agriculture UAV SPOT5 image Image processing Geometric Correction Accuracy analysis
CLC: S127
Type: Master's thesis
Year: 2007
Downloads: 225
Quote: 1
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Abstract


In this study, based on the implementation of precision agriculture field graphical management needs , as well as for the southeast of the economically developed coastal area of Zhejiang and other characteristics of cause terraces information changes frequently advance new rural development and land consolidation , proposed the application of remote sensing technology to quickly investigate and change method of scale Tiankuai information . Accuracy requirements , the village level , and plots the two -level concept . SPOT5 remote sensing images of village-level terraces investigation and change information ; elaborate plots survey and change , UAV remote sensing technology . The major findings are summarized as follows : ( 1) the SPOT5 remote sensing image processing methods the prominent terraces edge boundaries for the purpose of from panchromatic SPOT5 image by the high -pass filter image fusion product method combination for visual interpretation . Point spatial matching accuracy is as follows : 65.68% X - direction position error , 85.69% Y - direction position error and 48.52% point distance error 8m below , the error point error in X and Y direction and point the plane were 7.91m, 6.08m , and 9.93m : 85 % of the sample line azimuth error of less than 2 degrees , 60% of the sample line azimuth error of less than 1 degree ; 40% of the distance from the center of the line transect error less than 6 m ; 65% of the sample line length error of less than 5 meters , 30% of the sample line length error of less than 3 meters , 15% of the sample line length error in less than one meter ; 76.67% of the sample area consistent with the degree of more than 85% ; 93.33 % of the samples relative area of ??more than 85% accuracy . To meet the basic plots of village-level geometric information for accuracy requirements . ( 2) to study the geometric correction method for UAV remote sensing image . Not corrected before the UAV remote sensing image , the image obvious distortion , and this distortion the farther the distance from the imaging center point , the greater the distortion of the law . After after cubic polynomial corrective , point , line , surface average accuracy of 92.45% , 94.13% and 96.41% , can meet the accuracy requirements to obtain by the township level Tiankuai information .

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CLC: > Agricultural Sciences > Agriculture as the foundation of science > Agricultural physics > The application of remote sensing in agriculture
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