Hyperspectral data compression
Giovanni Motta
Reading Time
at 250 WPM6h 57m
The average reader, reading at a speed of 250 WPM, would take 6h 57m to read Hyperspectral data compression.
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14
days at 30 min/day
417
total minutes
Hyperspectral data compression
by Giovanni Motta, Francesco Rizzo, James A. Storer
Published
2010
Publisher
Springer
Pages
417
ISBN-13
9781280609374
Description
HYPERSPECTRAL DATA COMPRESSION presents the most recent results in the field of compression of remote sensing 3D data, with a focus on multispectral and hyperspectral imagery. This book is essential for researchers working across related fields including: multi-dimensional data compression, multispectral and hyperspectral data archives, remote sensing, scientific image processing, military and aerospace image processing, image segmentation, image classification, and target detection.
Subjects
Heinemann Our World (Heinemann Our World Geography)
Remote sensing and GIS
Elements of photogrammetry
Remote sensing and image interpretation
Remote sensing
Treaties, etc
Frequently Asked Questions
How many pages are in Hyperspectral data compression?
This edition of Hyperspectral data compression has approximately 417 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.
How long does it take to read Hyperspectral data compression?
For most readers, Hyperspectral data compression typically takes between 8h 41m and 5h 48m to complete. This is based on the book's length of approximately 104,250 words and common reading speeds.
Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 57m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 14 days • Estimated word count: 104,250 words
Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.
What is the word count of Hyperspectral data compression?
The estimated word count for Hyperspectral data compression is approximately 104,250 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.
This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.
Who is the author of Hyperspectral data compression?
Hyperspectral data compression was written by Giovanni Motta, Francesco Rizzo, James A. Storer.
When was Hyperspectral data compression published?
The publication date for this specific edition is 2010. The original work may have been published on a different date.