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基于形状匹配的多分辨率遥感影像建筑物变化检测方法研究

摘要第5-6页
ABSTRACT第6-7页
1. INTRODUCTION第14-18页
    1.1. Motivation and Problem Statement第15-17页
    1.2. Research Objective and Questions第17页
    1.3. Thesis Structure第17-18页
2. BACKGROUND第18-37页
    2.1. Change detection in urban areas第19-25页
        2.1.1. Pixel-based change detection第20-22页
        2.1.2. Object-based change detection第22-24页
        2.1.3. Hybrid change detection第24-25页
    2.2. Change detection with multi-scale images第25页
    2.3. Buildings extraction from high resolution remote sensing imagery第25-34页
        2.3.1. Object-oriented image classification第26-33页
        2.3.2. Buildings extraction第33-34页
    2.4. Shape analysis第34-37页
        2.4.1. Shape descriptors第34-35页
        2.4.2. Shape matching第35页
        2.4.3. Shape changes第35-37页
3. BUILDINGS CHANGE DETECTION BASED ON SHAPE MATCHING FORMULTI RESOLUTION REMOTE SENSING IMAGERY第37-45页
    3.1. Image processing and objects extraction第40-41页
    3.2. Shape post-processing第41-42页
        3.2.1. Polygonal approximation第41页
        3.2.2. Shape attributes definition第41-42页
    3.3. Identify New and Demolished buildings第42-43页
    3.4. Define buildings class transition (From-To changes)第43-45页
        3.4.1. Class transition for new buildings第43-44页
        3.4.2. Class transition for demolished buildings第44-45页
4. EXPERIENTAL RESULTS AND ANALYSIS第45-84页
    4.1. Experiment 1: Multi-resolution imagery in simple urban environment第46-69页
        4.1.1. Study area and datasets第46-48页
        4.1.2. Data preparation第48-52页
        4.1.3. Image objects extraction第52-62页
        4.1.4. Identify New and Demolished buildings第62-64页
        4.1.5. Define buildings class transition('From-To' changes)第64-65页
        4.1.6. Accuracy assessment第65-69页
    4.2. Experiment 2: Multi-resolution imagery in complex urban environment第69-79页
        4.2.1. Study area and datasets第69-71页
        4.2.2. Data preparation第71-73页
        4.2.3. Image objects extraction and change detection map production第73-76页
        4.2.4. Accuracy assessment第76-79页
    4.3. Experiment 3: Multi-temporal buildings vector maps第79-84页
        4.3.1. Study area and datasets第79-80页
        4.3.2. Buildings change detection for multi-date vector maps第80-84页
5. CONCLUSION AND FUTURE WORKS第84-87页
REFERENCES第87-91页
ACKNOWLEDGEMENT第91页

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