本文为土耳其伊兹密尔技术研究所（作者：Çiğdem TARHAN）的博士论文，共162页。

本文是在GIS环境下利用高分辨率遥感数据进行土地利用变化监测的实例。为了进行“变化检测”，使用了2001年和2004年的IKONOS卫星图像。一个自动化的图形用户界面（GUI）已经被创建用于环境检测。图形用户界面结合了不同的图像增强技术和模糊推理系统。检测结果按20%、50%、70%等基本等级进行分类。此外，还应用了四种不同的变化检测算法，分别是基于像素的、基于对象的、基于特征的。根据不同的图像增强技术，对这些算法进行了检测。

在这种背景下，本论文的主要目的是利用遥感和地理信息系统定期检测环境变化，以获取有关城市区域的最新信息。本文的第二个目标是比较现有的技术和新开发的GUI环境变化检测，并讨论使用不同检测技术获得的信息对整体结果的改善。

本文的目的是开发一个新的基于GIS的变化检测系统，这样就可以在GIS环境下高效地实现，并在同一环境下将结果与数字化数据叠加。

This thesis is an example of how land use changes could be detected via highresolution remotely sensed data in GIS environment. In order to perform “changedetection” IKONOS satellite images, belonging to 2001 and 2004, have been used. Anautomated Graphical User Interface (GUI) has been created for detection ofenvironment. Different image enhancement techniques and a fuzzy inference systemhave been combined in the GUI. The detection results are classified according to somebasic levels such as 20, 50 % and 70 %. Additionally, four different change detectionalgorithms have been applied, which are pixel-based, object based, feature based. Thesealgorithms have been examined according to change detection levels with differentimage enhancement techniques.

In this context, the primary objective of this thesis is to detect environmentalchanges regularly using RS and GIS in order to obtain up-to-date information about theurban areas.The secondary objective of the thesis is to compare the existing techniques withthe newly developed GUI for change detection of environmental changes and to discussthe improvement in the overall results using information obtained with differentdetection techniques.

The hypothesis of this thesis is to develop a new GIS based change detectionsystem. Thus, it would be realized in the GIS environment efficiently and overlaid theresults with digitized data in the same environment.

1.  引言

2.  变化检测

3.  文献回顾

4.  方法、算法与模糊推理

5.  检测环境变化：IZMR案例研究

6.  结论

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