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Research of Vegetation Segmentation Technology in Harbin City

Author: FuYao
Tutor: LiuZhaoGang
School: Northeast Forestry University
Course: Forest Management
Keywords: Image Segmentation Color space Vegetation extract
CLC: TP751
Type: Master's thesis
Year: 2011
Downloads: 51
Quote: 0
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Abstract


Green vegetation and material circulation plays a unique role in the Earth's energy into the relationship between vegetation and environment have been important aspects of the vegetation studies . Vegetation is the outermost layer of Earth's resources , to obtain the dynamic changes of the vegetation information reveals region , the evolution of great significance to the global ecological environment . Using remote sensing and geographic information systems approach to study the vegetation is an important means of green space planning . Vegetation on remote sensing image information , generally their differences through the green vegetation leaves and the spectral characteristics of the vegetation canopy to reflect the change . The spectral characteristics of the vegetation to its aerial imagery and other surface features to distinguish . Vegetation in RGB mode aviation image on the display is green , it significantly different to other surface features . Color image segmentation method , in accordance with the rules of the color of the color image of aerial imagery into a partial subset of vegetation characteristics information in the image can be extracted . In this paper, MATLAB software platform Harbin aerial images of urban areas as the research object , based on the principle of color segmentation , different images of green vegetation samples were collected from a number of The distribution law distribution of the RGB values ??of the vegetation samples in order to choose the Criterion given the green vegetation in color images . Application of two methods for aerial imagery for image segmentation , a color Criterion aerial images directly extracted vegetation information for image segmentation , the alternative is the use of K-means algorithm combined color Criterion aviation image image segmentation and automatic extraction of vegetation information , these two methods can be effectively segmented aviation videos on the vegetation , but are different . Segmentation results of the two methods are compared and analyzed .

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CLC: > Industrial Technology > Automation technology,computer technology > Remote sensing technology > Interpretation, identification and processing of remote sensing images > Image processing methods
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