Research The Technology Extracting Of City Green Space Based On RS Image

Aerospace field of development and promote the rapid development of remote sensing technology, especially in the remote sensing data processing, have made great progress, applications and more widely. In modern urban construction, remote sensing technology can be applied to urban layout and planning, urban environmental monitoring, land use surveys. Many cities have been abroad urban green space remote sensing information survey, successfully obtaining urban green space, green space for rational planning for cities to provide a reliable scientific basis. To maintain the ecological balance of urban green cities, urban development, accelerate the speed and improve the quality of people's lives, urban green space is an important part of the city.Papers in Fuzhou City, Old Town, for example, adopted in November 2013 the quickbird remote sensing data sources to ERDAS as the main processing platform, the first study conducted on the image registration and crop research area, and then the image enhancement processing, select best band combination, the best band synthetic image data using supervised classification, unsupervised classification of two methods for Fuzhou Local object type classification, information extraction green; Fuzhou city center and part of the Old Town area as an example calculate the green area, and labor statistics by comparing green area, then two kinds of classification methods are compared and analyzed.Some areas of the green area by contrast, supervised classification classification accuracy was significantly higher than in non-supervised classification. Then, based on the extraction of supervised classification on the basis of the results of Fuzhou City, Old Town green information, the status of Fuzhou City green building are analyzed on the basis of proposed future development goals and building measures.