| ISBN13: | 9781032245225 |
| ISBN10: | 10322452211 |
| Binding: | Paperback |
| No. of pages: | 282 pages |
| Size: | 234x156 mm |
| Weight: | 521 g |
| Language: | English |
| Illustrations: | 22 Illustrations, black & white; 157 Illustrations, color; 6 Halftones, black & white; 105 Halftones, color; 16 Line drawings, black & white; 52 Line drawings, color; 41 Tables, black & white |
| 699 |
Civil and construction engineering
Energy industry
Digital signal, audio and image processing
Earth sciences in general
Geology
Social geography
Cartography
Further readings in earth sciences
Civil and construction engineering (charity campaign)
Energy industry (charity campaign)
Digital signal, audio and image processing (charity campaign)
Earth sciences in general (charity campaign)
Geology (charity campaign)
Social geography (charity campaign)
Cartography (charity campaign)
Further readings in earth sciences (charity campaign)
Subpixel Mapping for Remote Sensing Images
GBP 45.99
Click here to subscribe.
Not in stock at Prospero.
This book provides a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Real-life applications are a great resource for understanding how and where to use subpixel mapping with different remote sensing imaging data.
Subpixel mapping is a technology that generates a fine resolution land cover map from coarse resolution fractional images by predicting the spatial locations of different land cover classes at the subpixel scale. This book provides readers with a complete overview of subpixel image processing methods, basic principles, and different subpixel mapping techniques based on single or multi-shift remote sensing images. Step-by-step procedures, experimental contents, and result analyses are explained clearly at the end of each chapter. Real-life applications are a great resource for understanding how and where to use subpixel mapping when dealing with different remote sensing imaging data.
This book will be of interest to undergraduate and graduate students, majoring in remote sensing, surveying, mapping, and signal and information processing in universities and colleges, and it can also be used by professionals and researchers at different levels in related fields.
