by Qian Wanga, Jianping Chena, Yi Tian
The level of urbanism is an important parameter to measure a country’s civilization degree, so it is important to make a reasonable planning for the city. The primary stage of making an urban planning is the survey of present situation, which needed a lot of people, material and money in the past. But now remote sensing has been used as a new means to get the space information and some attribute information. That’s more speedy, accurate and economical. There are mainly two ways to do the remote sensing image classification. One is visual interpretation, and the other is computer automatic interpretation. Computer automatic interpretation is very fast and facile, but it is difficult to make use of people’s experience and knowledge. It is inclined to classify a subject in to a wrong class or omit some objects. Meanwhile, city is a very complex geographic synthesis of population, resources, environment and social economy. There are different objects may have same spectral character or the same class of objects have different spectral characters. And the emphasis of making an urban planning is to research city functional cells and the structure rationality. The result of computer automatic classifying can not satisfy the city plan. In contrast, though interactive visual interpretation needs a longer time, it can make full use of people’s experience and knowledge. The result is more reasonable and correct. The paper compares the supervised classification with interactive visual interpretation, and indicates that interactive visual interpretation can serve the urban planning better.
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| Beijing, China, photo by NickPiggott |
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