一种多数据源的旧图像分类验证方法,以衡量分散的城市化进程

E. Maillé
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引用次数: 0

摘要

本文提出了一种基于不同时期不同尺度现有地理覆盖的旧低分辨率卫星影像制图与验证方法。该方法使用卫星图像、GI矢量覆盖和数字化纸质地图三种数据,可以描述为一种多数据源的方法,用于验证旧图像分类,以衡量分散的城市化进程。假设卫星图像允许绘制均匀斑块的精确边界,而小尺度矢量GI覆盖提供精确的内容。这就是为什么使用卫星图像来提高地理覆盖的精度。然而,在图像上检测到的均匀斑块的内容并不是完全未知的,因为绝对辐射值和彩色带组合的视觉纹理分析提供了一些信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multi-data sources method for the validation of old image classification in order to measure the scattered urbanisation process
This article proposed a mapping and validation method of old low resolution satellite images, based on the use of existing GI covers at different scales for different periods. This method can be described as a multi data sources method for the validation of old image classification in order to measure the scattered urbanisation process as it uses three kinds of data: satellite images, GI vectorial covers, and digitised paper maps. The hypothesis is that the satellite image allows to map the exact borders of homogeneous patches, while small scale vector GI cover provides the exact content. That is why satellite images are used to increase the precision of the GI cover. However, the content of homogeneous patches detected on the images is not totally unknown, as absolute radiometric values and visual texture analysis on coloured band combination gives some information.
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