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洪水遥感诊断——以泰国大城为例（英文版）

样章
作者：
Chunxiang Cao、Min Xu、Patcharin Kamsing、Sornkitja Boonprong、P
定价：
168.00元
ISBN：
978-7-04-055317-8
版面字数：
180.000千字
开本：
特殊
全书页数：
暂无
装帧形式：
精装
重点项目：
暂无
出版时间：
2021-03-17
读者对象：
学术著作
一级分类：
自然科学
二级分类：
地球科学
三级分类：
测绘科学技术
暂无
  • 前辅文
  • Part I Flooding Identification Method
    • 1 Geographical Characteristics of the Study Area
      • 1.1 Characteristics of the Ayutthaya Province
      • 1.2 Thailand Major Flood Event of 2011
      • 1.3 Environmental Remote Sensing of Flooding Area
      • 1.4 Summary
      • References
    • 2 Datasets and Data Preparation
      • 2.1 Remote Sensing Datasets and Preprocessing
        • 2.1.1 Image Enhancement or Radiometric Correction
        • 2.1.2 Georeferencing or Geometric Correction
      • 2.2 Flood Water Quality Data
      • 2.3 Morbidity Data
      • 2.4 Summary
      • References
    • 3 Flooding Identification by Vegetation Index
      • 3.1 Flooding Identification from Multispectral Images
      • 3.2 Flooding Identification from SAR Images
      • 3.3 Multi-temporal Remote Sensing Data for Flooding Identification
      • 3.4 Summary
      • References
    • 4 Flooding Identification by Support Vector Machine
      • 4.1 Support Vector Machine
      • 4.2 Affecting Parameters of the SVM Classifier
      • 4.3 Summary
      • References
    • 5 Improved Support Vector Machine Classifier Through a Particle Filter Algorithm
      • 5.1 Linear Dynamics Systems
        • 5.1.1 Linear Continuous Systems
        • 5.1.2 Discrete Linear Systems
      • 5.2 Random Process and Stochastic Systems to Model State Estimation
        • 5.2.1 Probability, Random Variables, and Their Statistical Properties
        • 5.2.2 Statistical Properties of Random Processes and Random Sequence
        • 5.2.3 Linear System Models of Random Processes and Random Sequences
      • 5.3 Particle Filter Algorithm
      • 5.4 A Support Vector Machine-Based Particle Filter (SVM-PF)
      • 5.5 A SVM-PF Applied in the Study Area
      • 5.6 Measured Results of the SVM-PF in Water Identification of Flooding Area
        • 5.6.1 Reference Dataset
        • 5.6.2 Accuracy Assessment
      • 5.7 An In-House Classifier for All Land Cover—CANFET
        • 5.7.1 Important Theories and Concepts
        • 5.7.2 Original CANFET
        • 5.7.3 Simplified CANFET
        • 5.7.4 Direct-Matching CANFET
      • 5.8 Summary
      • References
  • Part II Waterborne Diseases Caused by Flooding Disasters
    • 6 Flood-Related Parameters Affecting Waterborne Diseases
      • 6.1 Flood Parameters Derived from Multi-temporal Remote Sensing Data
      • 6.2 Population Variables
      • 6.3 Flood Water Quality
        • 6.3.1 Inverse Distance Weighting for Spatial Distribution
        • 6.3.2 Spatial Distribution of Dissolved Oxygen
      • 6.4 Summary
      • References
    • 7 Measure of Disease Risk
      • 7.1 Waterborne Diseases Caused by Flooding
      • 7.2 Disease Risk Assessment
      • 7.3 Outbreak Detection Methods
      • 7.4 Estimation of Outbreak Risk Using Risk Ratio Function
      • 7.5 Summary
      • References
    • 8 Modeling Outbreak Risk Based on the Back Propagation Neural Network (BPNN) Algorithm
      • 8.1 Back Propagation Neural Network (BPNN)
      • 8.2 A Multilayer Feed-Forward Neural Network
      • 8.3 Back Propagation
      • 8.4 Modeling Outbreak Risk Based on BPNN
        • 8.4.1 Initial Analysis of Input and Reference Data
        • 8.4.2 Results of Training and Testing the BPNN
      • 8.5 Summary
      • References
    • 9 Application of Surveillance of Communicable Disease Risk Using Expert Systems
      • 9.1 Introduction to the Expert System
      • 9.2 Integrated Expert System for Surveillance of Communicable Disease Risk
        • 9.2.1 Expert System for Diagnosis Design
        • 9.2.2 Expert System for Diagnosis Evaluation
      • 9.3 Summary
      • References
    • 10 Conclusions and Discussions
      • 10.1 Summary of Major Results
        • 10.1.1 Flood Identification
        • 10.1.2 Waterborne Diseases Caused by Flooding Disasters
      • 10.2 Further Work
      • References

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