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Title: Introductory digital image processing: A remote sensing perspective

Abstract

This book, reviews the art and science of applying digital image processing techniques to remotely sensed imagery. The digital image processing techniques presented are multidisciplinary in nature, and can be used in most Earth science and social science research by scientists who believe that the analysis of remotely sensed data by computer may benefit their decision-making capability. CONTENTS: Introduction to Digital Image Processing. Remote Sensing Data Acquisition Alternatives. Image Processing System Considerations. Initial Statistics Extraction. Initial Display Alternatives. Image Preprocessing-Radometric/Geometric. Useful Image Enhancements. Thematic Information Extraction. Change Detection. Appendix A: The SENSOR Digital Image Processing System Consisting of FORTRAN Subroutines. Appendix B: Addresses of Public and Commercial Suppliers of Digital Image Processing Hardware and Software.

Authors:
Publication Date:
Research Org.:
Univ. of South Carolina, Columbus
OSTI Identifier:
5166368
Alternate Identifier(s):
OSTI ID: 5166368
Resource Type:
Book
Country of Publication:
United States
Language:
English
Subject:
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; IMAGE PROCESSING; DIGITAL COMPUTERS; REVIEWS; ALGORITHMS; DATA ACQUISITION; DECISION MAKING; FORTRAN; PROGRAMMING; REMOTE SENSING; RESEARCH PROGRAMS; COMPUTERS; DOCUMENT TYPES; MATHEMATICAL LOGIC; PROCESSING; PROGRAMMING LANGUAGES 990200* -- Mathematics & Computers

Citation Formats

Jensen, J.R.. Introductory digital image processing: A remote sensing perspective. United States: N. p., 1986. Web.
Jensen, J.R.. Introductory digital image processing: A remote sensing perspective. United States.
Jensen, J.R.. Wed . "Introductory digital image processing: A remote sensing perspective". United States. doi:.
@article{osti_5166368,
title = {Introductory digital image processing: A remote sensing perspective},
author = {Jensen, J.R.},
abstractNote = {This book, reviews the art and science of applying digital image processing techniques to remotely sensed imagery. The digital image processing techniques presented are multidisciplinary in nature, and can be used in most Earth science and social science research by scientists who believe that the analysis of remotely sensed data by computer may benefit their decision-making capability. CONTENTS: Introduction to Digital Image Processing. Remote Sensing Data Acquisition Alternatives. Image Processing System Considerations. Initial Statistics Extraction. Initial Display Alternatives. Image Preprocessing-Radometric/Geometric. Useful Image Enhancements. Thematic Information Extraction. Change Detection. Appendix A: The SENSOR Digital Image Processing System Consisting of FORTRAN Subroutines. Appendix B: Addresses of Public and Commercial Suppliers of Digital Image Processing Hardware and Software.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 00:00:00 EST 1986},
month = {Wed Jan 01 00:00:00 EST 1986}
}

Book:
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  • This book deals with digital image processing and analysis techniques and algorithms commonly used in the application of remote sensing digital image data acquired by aircraft or spacecraft. In so far as possible, mathematical complexity is kept to a minimum, although the degree of detail given is such that algorithm limitations and alternative techniques can be appreciated. Contents: Sources and Characteristics of Remote Sensing Image Data. - Error Correction and Registration of Image Data. - The Interpretation of Image Data. - Radiometric Enhancement Techniques. - Geometric Enhancement Using Domain Techniques. - Multispectral Transformations of Image Data. - Fourier Transformation ofmore » Image Data. - Supervised Classification Techniques. - Clustering and Unsupervised Classification. - Feature Reduction. - Classification Methodologies. - Appendices A to F.« less
  • This volume contains the proceedings of EOS/SPIE Remote Sensing Symposium which was held September 21, 1998 in Barcelona, Spain. Topics of discussion include the following: geometric and radiometric calibration; classification and target detection; filtering, segmentation, and edge detection; and texture analysis to improve discrimination of forest canopies.
  • The author's introduction to remote sensing provides coverage of the subject irrespective of disciplines of study or the academic department in which remote sensing is taught. All the ''classical'' elements of aerial photographic interpretation and photogrammetry are described, but equal emphasis is placed on non-photographic sensing systems and the analysis of data from these systems using digital image processing procedures. This text includes coverage of image restoration, enhancement, classification, and data merging, and new sensor systems such as the Large Format Camera, solid-state linear arrays, the Shuttle Imaging radar systems, the Landsat Thematic Mapper, the SPOT satellite system, and themore » NOAA Advanced Very High Resolution Radiometer. Also covers imaging spectrometry and lidar systems. It contains extensive illustrations.« less
  • The principal objectives of this book are to provide an introduction to basic concepts and techniques for digital image processing and to lay a foundation that can be used as the basis for further study and research. Attention is focused on material which is fundamental and where the scope of application is not limited to specialized problems. The book is organized as follows: Introduction (background, digital image representation, elements of a digital image processing system, organization of the book), Digital image fundamentals (elements of visual perception, an image model, uniform sampling and quantization, nonuniform sampling and quantization, photographic film, concludingmore » remarks), Image transforms (introduction to the Fourier transform, the discrete Fourier transform, some properties of the two-dimensional Fourier transform, the fast Fourier transform, other image transforms, concluding remarks), Image enhancement (background, image enhancement by histogram modification techniques, image smoothing, image sharpening, enhancement based on an image model, pseudo-color image processing, concluding remarks), Image restoration (degradation model, diagonalization of circulant and block-circulant matrices, algebraic approach to restoration, inverse filtering, least-squares (Wiener) filter, constrained least-squares restoration, interactive restoration, concluding remarks), Image encoding (fidelity criteria, the encoding process, error-free encoding, image encoding relative to a fidelity criterion, use of the mapper outputs as features, concluding remarks), and Image segmentation and description (segmentation, regional descriptions, relational descriptors, descriptions of similarity, concluding remarks). 223 figures, 23 tables, 213 references. (RWR)« less
  • This book contains papers arranged into six sessions. The session titles are: Image compression; Instrumentation; Theoretical concepts; Algorithms; Registration and modeling; and Restoration and enhancement.