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Land Cover Classification with Expert Systems in Sakaerat Environmental Research Station, Thailand

Abstract第5页
Table of Contents第6-8页
List of Tables第8-9页
List of Figures第9-10页
List of Abbreviations and Acronyms第10-11页
CHAPTER1 INTRODUCTI ON第11-13页
    1.1 Background第11-12页
    1.2 Objectives of the study第12页
    1.3 Scope of the study第12-13页
CHAPTER2 LITERATURE REVIEW第13-23页
    2.1 Remote sensing role and application第13-14页
    2.2 Landsat第14-16页
    2.3 Land cover and land use第16页
    2.4 Classification and legend第16-17页
    2.5 Land cover and land use classification system第17-18页
    2.6 Image preprocessing第18-19页
        2.6.1 Radiometric preprocessing第18页
        2.6.2 Geometric preprocessing第18-19页
    2.7 Image classification第19-21页
        2.7.1 Maximum likelihood classification第19页
        2.7.2 Training area第19-20页
        2.7.3 Expert classification第20-21页
        2.7.4 Post classification smoothing第21页
    2.8 Classification accuracy assessment第21-23页
CHAPTER3 STUDY AREA AND METHODOLOGY第23-35页
    3.1 Study area第23-29页
        3.1.1 Topography第24-26页
        3.1.2 Climate第26-28页
        3.1.3 Vegetation第28-29页
    3.2 Methodology第29-35页
        3.2.1 Image preprocessing第29-30页
            3.2.1.1 Geometric correction第29页
            3.2.1.2 Radiometric correction第29-30页
        3.2.2 Image classification第30-32页
            3.2.2.1 Maximum likelihood classification第30-31页
            3.2.2.2 Expert classification第31-32页
        3.2.3 Post classification smoothing(filtering)第32页
        3.2.4 Classification accuracy assessment第32-33页
        3.2.5 Comparison of the two classification procedures第33-35页
CHAPTER4 RESULTS AND DISCUSSION第35-55页
    4.1 Image preprocessing第35-36页
        4.1.1 Geometric correction第35页
        4.1.2 Radiometric correction第35-36页
    4.2 Classification system第36-38页
    4.3 Maximum likelihood classification第38-44页
        4.3.1 Training area for maximum-likelihood classification第38页
        4.3.2 The results of the maximum likelihood classification第38-39页
        4.3.3 Post classification smoothing(filtering)of the maximum-likelihood classification第39-43页
        4.3.4 Accuracy assessment of the maximum likelihood classification第43-44页
    4.4 Expert classification第44-52页
        4.4.1 Post classification smoothing(filtering)of the maximum likelihood classification第48-50页
        4.4.2 Accuracy assessment of the expert classification第50-52页
    4.5 Comparison of the two classification procedures第52-55页
CHAPTER5 CONCLUSION AND RECOMMENDATIONS第55-57页
    5.1 Conclusion第55-56页
    5.2 Recommendations第56-57页
REFERENCES第57-63页
APPENDICES第63-73页
Candidate's Curriculum VitaeChonlanet Preechacharoensri第73-74页
Instructor's Curriculum Vitae第74-76页
ACKNOWLEDGEMENT第76页

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