| 청구기호 |
GE45.R44 C43 2018 |
| 형태사항 |
1 online resource (529 pages)
|
| 언어 |
English |
| 일반주기 |
6.2.2 Mathematical Morphology.
|
| 서지주기 |
Includes bibliographical references.
|
| 내용 |
Cover; Half Title; Title Page; Copyright Page; Contents; Preface; Acknowledgments; Authors; Chapter 1: Introduction; 1.1 Background; 1.2 Objectives and Definitions; 1.3 Featured Areas of the Book; References; Part I: Fundamental Principles of Remote Sensing; Chapter 2: Electromagnetic Radiation and Remote Sensing; 2.1 Introduction; 2.2 Properties of Electromagnetic Radiation; 2.3 Solar Radiation; 2.4 Atmospheric Radiative Transfer; 2.4.1 Principles of Radiative Transfer; 2.4.2 Reflection; 2.4.3 Refraction; 2.5 Remote Sensing Data Collection; 2.5.1 Atmospheric Windows for Remote Sensing.
2.5.2 Specific Spectral Region for Remote Sensing2.5.3 Band Distribution for Remote Sensing; 2.6 Rationale of Thermal Remote Sensing; 2.6.1 Thermal Radiation; 2.6.2 Energy Budget and Earthâ#x80;#x99;s Net Radiation; 2.7 Basic Terminologies of Remote Sensing; 2.8 Summary; References; Chapter 3: Remote Sensing Sensors and Platforms; 3.1 Introduction; 3.2 Remote Sensing Platforms; 3.2.1 Space-Borne Platforms; 3.2.2 Air-Borne Platforms; 3.2.3 Ground- or Sea-Based Platforms; 3.3 Remote Sensing Sensors; 3.3.1 Passive Sensors; 3.3.2 Active Sensors; 3.4 Real-World Remote Sensing Systems.
3.5 Current, Historical, and Future Important Missions3.5.1 Current Important Missions; 3.5.2 Historic Important Missions; 3.5.3 Future Important Missions; 3.6 System Planning of Remote Sensing Applications; 3.7 Summary; References; Chapter 4: Image Processing Techniques in Remote Sensing; 4.1 Introduction; 4.2 Image Processing Techniques; 4.2.1 Pre-Processing Techniques; 4.2.1.1 Atmospheric Correction; 4.2.1.2 Radiometric Correction; 4.2.1.3 Geometric Correction; 4.2.1.4 Geometric Transformation; 4.2.1.5 Resampling; 4.2.1.6 Mosaicking; 4.2.1.7 Gap Filling.
4.2.2 Advanced Processing Techniques4.2.2.1 Image Enhancement; 4.2.2.2 Image Restoration; 4.2.2.3 Image Transformation; 4.2.2.4 Image Segmentation; 4.3 Common Software for Image Processing; 4.3.1 ENVI; 4.3.2 ERDAS IMAGINE; 4.3.3 PCI Geomatica; 4.3.4 ArcGIS; 4.3.5 MATLAB®; 4.3.6 IDL; 4.4 Summary; References; Part II: Feature Extraction for Remote Sensing; Chapter 5: Feature Extraction and Classification for Environmental Remote Sensing; 5.1 Introduction; 5.2 Feature Extraction Concepts and Fundamentals; 5.2.1 Definition of Feature Extraction; 5.2.2 Feature and Feature Class.
5.2.3 Fundamentals of Feature Extraction5.3 Feature Extraction Techniques; 5.3.1 Spectral-Based Feature Extraction; 5.3.2 Spatial-Based Feature Extraction; 5.4 Supervised Feature Extraction; 5.5 Unsupervised Feature Extraction; 5.6 Semi-supervised Feature Extraction; 5.7 Image Classification Techniques with Learning Algorithms; 5.8 Performance Evaluation Metric; 5.9 Summary; References; Chapter 6: Feature Extraction with Statistics and Decision Science Algorithms; 6.1 Introduction; 6.2 Statistics and Decision Science-Based Feature Extraction Techniques; 6.2.1 Filtering Operation.
|
| 주제 |
Environmental sciences --Remote sensing.
Environmental monitoring --Remote sensing.
Content-based image retrieval.
Multisensor data fusion.
Multimedia data mining.
BUSINESS & ECONOMICS / Infrastructure. --bisacsh
SOCIAL SCIENCE / General. --bisacsh
Content-based image retrieval. --fast --(OCoLC)fst01748556
Environmental monitoring --Remote sensing. --fast --(OCoLC)fst00913234
Environmental sciences --Remote sensing. --fast --(OCoLC)fst00913503
Multimedia data mining. --fast --(OCoLC)fst01982691
Multisensor data fusion. --fast --(OCoLC)fst01029095
|
| ISBN |
9781351650632
1351650637
z9781498774338
z1498774334
9781498774345
1498774342
9781315154602
1315154609
|
