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▼a 9781351650632
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▼a 363.7/0630284
▼2 23 |
| 100 | 1 |
▼a Chang, Ni-Bin. |
| 245 | 10 |
▼a Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing. |
| 260 | |
▼a Milton:
▼b Taylor and Francis,
▼c 2018. |
| 300 | |
▼a 1 online resource (529 pages). |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
▼2 rdamedia |
| 338 | |
▼a online resource
▼b cr
▼2 rdacarrier |
| 500 | |
▼a 6.2.2 Mathematical Morphology. |
| 504 | |
▼a Includes bibliographical references. |
| 505 | 0 |
▼a 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. |
| 505 | 8 |
▼a 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 Eartha?#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. |
| 505 | 8 |
▼a 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. |
| 505 | 8 |
▼a 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 MATLABA?짰; 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. |
| 505 | 8 |
▼a 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. |
| 506 | |
▼a Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland on library computers. For more information contact enquiries@nls.uk.
▼5 StEdNL |
| 520 | |
▼a "Automated image fusion processes involving cross-mission of multiple satellites with the aid of ground-based sensor networks and databases are critical to support environmental decision-making. This book is unique because it rests upon a smooth integration between image fusion and data mining for information retrieval and content-based mapping in the context of different environmental applications, and it focuses on environmental application issues at global and regional scale, while using local scale ground-truth data for calibration and validation. It has potential to be integrated with local scale data/image fusion based on local physical sensors and human observations."--Provided by publisher. |
| 588 | 0 |
▼a Print version record. |
| 590 | |
▼a Master record variable field(s) change: 050, 072, 082, 650 - OCLC control number change |
| 650 | 0 |
▼a Environmental sciences
▼x Remote sensing. |
| 650 | 0 |
▼a Environmental monitoring
▼x Remote sensing. |
| 650 | 0 |
▼a Content-based image retrieval. |
| 650 | 0 |
▼a Multisensor data fusion. |
| 650 | 0 |
▼a Multimedia data mining. |
| 650 | 7 |
▼a BUSINESS & ECONOMICS / Infrastructure.
▼2 bisacsh |
| 650 | 7 |
▼a SOCIAL SCIENCE / General.
▼2 bisacsh |
| 650 | 7 |
▼a Content-based image retrieval.
▼2 fast
▼0 (OCoLC)fst01748556 |
| 650 | 7 |
▼a Environmental monitoring
▼x Remote sensing.
▼2 fast
▼0 (OCoLC)fst00913234 |
| 650 | 7 |
▼a Environmental sciences
▼x Remote sensing.
▼2 fast
▼0 (OCoLC)fst00913503 |
| 650 | 7 |
▼a Multimedia data mining.
▼2 fast
▼0 (OCoLC)fst01982691 |
| 650 | 7 |
▼a Multisensor data fusion.
▼2 fast
▼0 (OCoLC)fst01029095 |
| 655 | 4 |
▼a Electronic books. |
| 700 | 1 |
▼a Bai, Kaixu, |
| 776 | 08 |
▼i Print version:
▼a Chang, Ni-Bin.
▼t Multisensor Data Fusion and Machine Learning for Environmental Remote Sensing.
▼d Milton : Taylor and Francis, 짤2018
▼z 9781498774338 |
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