EXTRACTION OF URBAN GREEN AREA BASED ON OBJECT-ORIENTED

• Main Authors: Lili Yao, Weidong Song
• Other Authors: The Pennsylvania State University CiteSeerX Archives
• Format: Text
• Language: English
• Subjects: KEY WORDS; Object-Oriented; Image Segmentation; Gray Level Co-occurrence Matrix; Wavelet; Feature Extraction ABSTRACT; Greenland
• Online Access: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.184.3167; http://www.isprs.org/proceedings/XXXVII/congress/8_pdf/11_WG-VIII-11/16.pdf

At present, with the rapid development of remote sensing technology especially the improvement of remote sensing image processing, many cities of in china and overseas have applied remote sensing to greenland information extraction,in order to find out green area cover dynamicand optimize the spatial structure of green space.This paper takes high-resolution remote sensing image as the data source and extracts the information of the urban green area according to the method of object-oriented method. The texture feature is extracted by making use of the grey co-occurance level matrix and wavelet transform.The extraction result is compared to the traditional method to evaluate the accuracy. Study the meaning of the extraction of urban green area based on object-oriented method,and get an effective extraction method of the urban green area. 1. FOREWORD With the rapid development of remote sensing technology especially the improvement of remote sensing image processing, remote sensing has been applied in the various social fields more and more widely increasing.The urban green space is an important part of the ecology system, it is the result that many factors take part in,for example, nature and humanities and so on, and it is the sign of the environment of