Essential image processing and GIS for remote sensing - Info and Reading Options
By Jian-Guo Liu
"Essential image processing and GIS for remote sensing" was published by Wiley-Blackwell in 2009 - Chichester, West Sussex, UK, it has 460 pages and the language of the book is English.
“Essential image processing and GIS for remote sensing” Metadata:
- Title: ➤ Essential image processing and GIS for remote sensing
- Author: Jian-Guo Liu
- Language: English
- Number of Pages: 460
- Publisher: Wiley-Blackwell
- Publish Date: 2009
- Publish Location: Chichester, West Sussex, UK
- Dewey Decimal Classification: 621.36/78
- Library of Congress Classification: G70.4 .L583 2009G70.4.L583 2009
“Essential image processing and GIS for remote sensing” Subjects and Themes:
- Subjects: Remote sensing - Image processing - Surface - Geographic information systems - Earth (planet), surface
Edition Specifications:
- Pagination: p. cm.
Edition Identifiers:
- The Open Library ID: OL23174762M - OL11627548W
- Online Computer Library Center (OCLC) ID: 312444537
- Library of Congress Control Number (LCCN): 2009007663
- ISBN-13: 9780470510322 - 9780470510315 - 9780470746042
- All ISBNs: 9780470510322 - 9780470510315 - 9780470746042
AI-generated Review of “Essential image processing and GIS for remote sensing”:
"Essential image processing and GIS for remote sensing" Description:
Open Data:
Essential Image Processing and GIS for Remote Sensing -- Contents -- Overview of the Book -- Part One: Image Processing -- 1 Digital Image and Display -- 1.1 What is a digital image? -- 1.2 Digital image display -- 1.2.1 Monochromatic display -- 1.2.2 Tristimulus colour theory and RGB colour display -- 1.2.3 Pseudo colour display -- 1.3 Some key points -- Questions -- 2 Point Operations (Contrast Enhancement) -- 2.1 Histogram modification and lookup table -- 2.2 Linear contrast enhancement -- 2.2.1 Derivation of a linear function from two points -- 2.3 Logarithmic and exponential contrast enhancement -- 2.3.1 Logarithmic contrast enhancement -- 2.3.2 Exponential contrast enhancement -- 2.4 Histogram equalization -- 2.5 Histogram matching and Gaussian stretch -- 2.6 Balance contrast enhancement technique -- 2.6.1 *Derivation of coefficients, a, b and c for a BCET parabolic function -- 2.7 Clipping in contrast enhancement -- 2.8 Tips for interactive contrast enhancement -- Questions -- 3 Algebraic Operations (Multi-image Point Operations) -- 3.1 Image addition -- 3.2 Image subtraction (differencing) -- 3.3 Image multiplication -- 3.4 Image division (ratio) -- 3.5 Index derivation and supervised enhancement -- 3.5.1 Vegetation indices -- 3.5.2 Iron oxide ratio index -- 3.5.3 TM clay (hydrated) mineral ratio index -- 3.6 Standardization and logarithmic residual -- 3.7 Simulated reflectance -- 3.7.1 Analysis of solar radiation balance and simulated irradiance -- 3.7.2 Simulated spectral reflectance image -- 3.7.3 Calculation of weights -- 3.7.4 Example: ATM simulated reflectance colour composite -- 3.7.5 Comparison with ratio and logarithmic residual techniques -- 3.8 Summary -- Questions -- 4 Filtering and Neighbourhood Processing -- 4.1 Fourier transform: understanding filtering in image frequency -- 4.2 Concepts of convolution for image filtering
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