Computer Processing of Remotely-Sensed Images, 5th Edition
- Length: 384 pages
- Edition: 5
- Language: English
- Publisher: Wiley-Blackwell
- Publication Date: 2022-04-11
- ISBN-10: 1119502829
- ISBN-13: 9781119502821
- Sales Rank: #0 (See Top 100 Books)
source site Computer Processing of Remotely-Sensed Images
follow A thorough introduction to computer processing of remotely-sensed images, processing methods, and applications
https://reggaeportugal.com/u3oyqtvh4mq Remote sensing is a crucial form of measurement that allows for the gauging of an object or space without direct physical contact, allowing for the assessment and recording of a target under conditions which would normally render access difficult or impossible. This is done through the analysis and interpretation of electromagnetic radiation (EMR) that is reflected or emitted by an object, surveyed and recorded by an observer or instrument that is not in contact with the target. This methodology is particularly of importance in Earth observation by remote sensing, wherein airborne or satellite-borne instruments of EMR provide data on the planet’s land, seas, ice, and atmosphere. This permits scientists to establish relationships between the measurements and the nature and distribution of phenomena on the Earth’s surface or within the atmosphere.
Buy Carisoprodol Online Uk Still relying on a visual and conceptual approach to the material, the fifth edition of this successful textbook provides students with methods of computer processing of remotely sensed data and introduces them to environmental applications which make use of remotely-sensed images. The new edition’s content has been rearranged to be more clearly focused on image processing methods and applications in remote sensing with new examples, including material on the Copernicus missions, microsatellites and recently launched SAR satellites, as well as time series analysis methods.
Buy Soma Us To Us The fifth edition of Computer Processing of Remotely-Sensed Images also contains:
- A cohesive presentation of the fundamental components of Earth observation remote sensing that is easy to understand and highly digestible
- Largely non-technical language providing insights into more advanced topics that may be too difficult for a non-mathematician to understand
- Illustrations and example boxes throughout the book to illustrate concepts, as well as revised examples that reflect the latest information
- References and links to the most up-to-date online and open access sources used by students
go to site Computer Processing of Remotely-Sensed Images is a highly insightful textbook for advanced undergraduates and postgraduate students taking courses in remote sensing and GIS in Geography, Geology, and Earth & Environmental Science departments.
Clonazepam Generic Buy Cover Table of Contents Title Page Copyright Page In Memoriam Preface to the First Edition Preface to the Second Edition References Preface to the Third Edition Preface to the Fourth Edition Preface to the Fifth Edition List of Examples 1 Remote Sensing 1.1 Introduction 1.2 Electromagnetic Radiation and Its Properties 1.3 Interaction with Earth Surface Materials 1.4 Summary References 2 Remote Sensing Platforms and Sensors 2.1 Introduction 2.2 Characteristics of Imaging Remote Sensing Instruments 2.3 Optical, Near‐infrared, and Thermal Imaging Sensors 2.4 Microwave Imaging Sensors 2.5 Summary References 3 Preprocessing of Remotely Sensed Data 3.1 Introduction 3.2 Cosmetic Operations 3.3 Geometric Correction and Registration 3.4 Atmospheric Correction 3.5 Illumination and View Angle Effects 3.6 Sensor Calibration 3.7 Terrain Effects 3.8 Summary References 4 Image Enhancement Techniques 4.1 Introduction 4.2 Human Visual System 4.3 Contrast Enhancement 4.4 Pseudocolour Enhancement 4.5 Summary References 5 Image Transforms 5.1 Introduction 5.2 Arithmetic Operations 5.3 Empirically Based Image Transforms 5.4 Principal Component Analysis 5.5 Hue, Saturation, and Intensity (HSI) Transform 5.6 The Discrete Fourier Transform 5.7 The Discrete Wavelet Transform 5.8 Change Detection 5.9 Image Fusion 5.10 Summary References 6 Filtering Techniques 6.1 Introduction 6.2 Spatial‐domain Low‐pass (Smoothing) Filters 6.3 Spatial‐domain High‐pass (Sharpening) Filters 6.4 Spatial‐domain Edge Detectors 6.5 Frequency‐domain Filters 6.6 Summary References 7 Classification 7.1 Introduction 7.2 Geometrical Basis of Classification 7.3 Unsupervised Classification 7.4 Supervised Classification 7.5 Subpixel Classification Techniques 7.6 More Advanced Approaches to Image Classification 7.7 Incorporation of Non‐spectral Features 7.8 Contextual Information 7.9 Feature Selection 7.10 Classification Accuracy 7.11 Summary References 8 Advanced Topics 8.1 Introduction 8.2 SAR Interferometry 8.3 Imaging Spectroscopy 8.4 Lidar 8.5 Summary References Appendix A Computing for Remote Sensing A.1 Introduction A.2 Software References Index End User License Agreement
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