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E-raamat: Remote Sensing and Image Interpretation

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(University of Wisconsin - Madison), (University of Wisconsin - Madison), (University of Wisconsin - Madison)
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 10-Aug-2015
  • Kirjastus: John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781119128465
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Remote Sensing and Image InterpretationSuurem pilt
  • Formaat: EPUB+DRM
  • Ilmumisaeg: 10-Aug-2015
  • Kirjastus: John Wiley & Sons Inc
  • Keel: eng
  • ISBN-13: 9781119128465
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  • From recent developments in digital image processing to the next generation of satellite systems, the sixth edition of this comprehensive text introduces students to the latest developments in the exciting field of remote sensing and image interpretation.
  • The text examines the basics of analog image analysis while placing greater emphasis on digitally based systems and analysis techniques.
  • The presentation is discipline neutral, so students in any field of study can gain a clear understanding of these systems and their virtually unlimited applications.

Arvustused

Remote Sensing and Image Interpretation by Lillesand, Kiefer, and Chipman is one of those three or four must have books that every remote sensing scientist has as part of their personal library.  (Photogrammetric Engineering and Remote Sensing, 1 August 2015)

1 Concepts and Foundations of Remote Sensing 1(84)
1.1 Introduction
1(3)
1.2 Energy Sources and Radiation Principles
4(5)
1.3 Energy Interactions in the Atmosphere
9(3)
1.4 Energy Interactions with Earth Surface Features
12(18)
1.5 Data Acquisition and Digital Image Concepts
30(9)
1.6 Reference Data
39(4)
1.7 The Global Positioning System and Other Global Navigation Satellite Systems
43(2)
1.8 Characteristics of Remote Sensing Systems
45(4)
1.9 Successful Application of Remote Sensing
49(3)
1.10 Geographic Information Systems (GIS)
52(5)
1.11 Spatial Data Frameworks for GIS and Remote Sensing
57(2)
1.12 Visual Image Interpretation
59(26)
2 Elements of Photographic Systems 85(61)
2.1 Introduction
85(1)
2.2 Early History of Aerial Photography
86(3)
2.3 Photographic Basics
89(10)
2.4 Film Photography
99(16)
2.5 Digital Photography
115(3)
2.6 Aerial Cameras
118(18)
2.7 Spatial Resolution of Camera Systems
136(7)
2.8 Aerial Videography
143(2)
2.9 Conclusion
145(1)
3 Basic Principles of Photogrammetry 146(72)
3.1 Introduction
146(4)
3.2 Basic Geometric Characteristics of Aerial Photographs
150(9)
3.3 Photographic Scale
159(5)
3.4 Ground Coverage of Aerial Photographs
164(3)
3.5 Area Measurement
167(3)
3.6 Relief Displacement of Vertical Features
170(7)
3.7 Image Parallax
177(11)
3.8 Ground Control for Aerial Photography
188(1)
3.9 Determining the Elements of Exterior Orientation of Aerial Photographs
189(5)
3.10 Production of Mapping Products from Aerial Photographs
194(16)
3.11 Flight Planning
210(7)
3.12 Conclusion
217(1)
4 Multispectral, Thermal, and Hyperspectral Sensing 218(65)
4.1 Introduction
218(1)
4.2 Across-Track Scanning
219(6)
4.3 Along-Track Scanning
225(1)
4.4 Example Across-Track Multispectral Scanner and Imagery
226(4)
4.5 Example Along-Track Multispectral Scanner and Imagery
230(2)
4.6 Geometric Characteristics of Across-Track Scanner Imagery
232(9)
4.7 Geometric Characteristics of Along-Track Scanner Imagery
241(2)
4.8 Thermal Imaging
243(2)
4.9 Thermal Radiation Principles
245(9)
4.10 Interpreting Thermal Imagery
254(11)
4.11 Radiometric Calibration of Thermal Images and Temperature Mapping
265(4)
4.12 FLIR Systems
269(2)
4.13 Hyperspectral Sensing
271(11)
4.14 Conclusion
282(1)
5 Earth Resource Satellites Operating in the Optical Spectrum 283(102)
5.1 Introduction
283(2)
5.2 General Characteristics of Satellite Remote Sensing Systems Operating in the Optical Spectrum
285(10)
5.3 Moderate Resolution Systems
295(1)
5.4 Landsat-1 to -7
296(13)
5.5 Landsat-8
309(13)
5.6 Future Landsat Missions and the Global Earth Observation System of Systems
322(2)
5.7 SPOT-1 to -5
324(12)
5.8 SPOT-6 and -7
336(3)
5.9 Evolution of Other Moderate Resolution Systems
339(1)
5.10 Moderate Resolution Systems Launched prior to 1999
340(2)
5.11 Moderate Resolution Systems Launched since 1999
342(7)
5.12 High Resolution Systems
349(7)
5.13 Hyperspectral Satellite Systems
356(3)
5.14 Meteorological Satellites Frequently Applied to Earth Surface Feature Observation
359(1)
5.15 NOAA POES Satellites
360(3)
5.16 JPSS Satellites
363(3)
5.17 GOES Satellites
366(1)
5.18 Ocean Monitoring Satellites
367(4)
5.19 Earth Observing System
371(8)
5.20 Space Station Remote Sensing
379(3)
5.21 Space Debris
382(3)
6 Microwave and Lidar Sensing 385(100)
6.1 Introduction
385(1)
6.2 Radar Development
386(3)
6.3 Imaging Radar System Operation
389(10)
6.4 Synthetic Aperture Radar
399(3)
6.5 Geometric Characteristics of Radar Imagery
402(7)
6.6 Transmission Characteristics of Radar Signals
409(4)
6.7 Other Radar Image Characteristics
413(4)
6.8 Radar Image Interpretation
417(18)
6.9 lnterferometric Radar
435(6)
6.10 Radar Remote Sensing from Space
441(2)
6.11 Seasat-1 and the Shuttle Imaging Radar Missions
443(5)
6.12 Almaz-1
448(1)
6.13 ERS, Envisat, and Sentinel-1
448(2)
6.14 JERS-1, ALOS, and ALOS-2
450(2)
6.15 Radarsat
452(3)
6.16 TerraSAR-X, TanDEM-X, and PAZ
455(2)
6.17 The COSMO-SkyMed Constellation
457(1)
6.18 Other High-Resolution Spaceborne Radar Systems
458(1)
6.19 Shuttle Radar Topography Mission
459(3)
6.20 Spaceborne Radar System Summary
462(2)
6.21 Radar Altimetry
464(2)
6.22 Passive Microwave Sensing
466(5)
6.23 Basic Principles of Lidar
471(4)
6.24 Lidar Data Analysis and Applications
475(7)
6.25 Spaceborne Lidar
482(3)
7 Digital Image Analysis 485(124)
7.1 Introduction
485(3)
7.2 Preprocessing of Images
488(12)
7.3 Image Enhancement
500(1)
7.4 Contrast Manipulation
501(6)
7.5 Spatial Feature Manipulation
507(10)
7.6 Multi-Image Manipulation
517(20)
7.7 Image Classification
537(1)
7.8 Supervised Classification
538(2)
7.9 The Classification Stage
540(6)
7.10 The Training Stage
546(10)
7.11 Unsupervised Classification
556(4)
7.12 Hybrid Classification
560(2)
7.13 Classification of Mixed Pixels
562(6)
7.14 The Output Stage and Postclassification Smoothing
568(2)
7.15 Object-Based Classification
570(3)
7.16 Neural Network Classification
573(2)
7.17 Classification Accuracy Assessment
575(7)
7.18 Change Detection
582(5)
7.19 Image Time Series Analysis
587(4)
7.20 Data Fusion and GIS Integration
591(7)
7.21 Hyperspectral Image Analysis
598(4)
7.22 Biophysical Modeling
602(6)
7.23 Conclusion
608(1)
8 Applications of Remote Sensing 609(90)
8.1 Introduction
609(2)
8.2 Land Use/Land Cover Mapping
611(7)
8.3 Geologic and Soil Mapping
618(10)
8.4 Agricultural Applications
628(4)
8.5 Forestry Applications
632(6)
8.6 Rangeland Applications
638(1)
8.7 Water Resource Applications
639(10)
8.8 Snow and Ice Applications
649(3)
8.9 Urban and Regional Planning Applications
652(2)
8.10 Wetland Mapping
654(4)
8.11 Wildlife Ecology Applications
658(4)
8.12 Archaeological Applications
662(3)
8.13 Environmental Assessment and Protection
665(3)
8.14 Natural Disaster Assessment
668(10)
8.15 Principles of Landform Identification and Evaluation
678(19)
8.16 Conclusion
697(2)
Works Cited 699(10)
Index 709(11)
SI Units Frequently Used in Remote Sensing 720
Dr. Thomas Lillesand is a professor of engineering at the University of Wisconsin-Madison. He has received the Alan Gordon Memorial Award from American Society of Photogrammetry for significant achievements in remote sensing and photographic interpretation as well as the Earle J. Fennell Award from the American Congress on Surveying and Mapping. He is a member of the American Society of Civil Engineers and is on the academic board for the John C. Stennis Space Center. Dr. Lillesand has published over 125 works on remote sensing and his research interests include geographical information systems, natural resource management, and environmental monitoring.
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