由于此商品库存有限,请在下单后15分钟之内支付完成,手慢无哦!
100%刮中券,最高99元无敌券,券有效期7天
活动自2017年6月2日上线,敬请关注云钻刮券活动规则更新。
如活动受政府机关指令需要停止举办的,或活动遭受严重网络攻击需暂停举办的,或者系统故障导致的其它意外问题,苏宁无需为此承担赔偿或者进行补偿。
醉染图书洪水遥感诊断——以泰国大城为例9787040553178
¥ ×1
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 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 lity Data
. Morbidity Data
2.4 Summary
References
3 Flooding Identification by Vegetation Index
3.1 Flooding Identification from Multispectra Iaes
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.. 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 Derive fo Multi-temporal Remote Sensing Data
6.2 Population Variables
6.3 Flood Water lity
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
亲,大宗购物请点击企业用户渠道>小苏的服务会更贴心!
亲,很抱歉,您购买的宝贝销售异常火爆让小苏措手不及,请稍后再试~
非常抱歉,您前期未参加预订活动,
无法支付尾款哦!
抱歉,您暂无任性付资格
