It takes the average reader 2 hours and 7 minutes to read Dimensionality Reduction of Hyperspectral Imagery by Arati Paul
Assuming a reading speed of 250 words per minute. Learn more
This book provides information about different types of dimensionality reduction (DR) methods and their effectiveness in hyperspectral data processing. The authors first explain how hyperspectral imagery (HSI) plays an important role in remote sensing due to its high spectral resolution that enables better identification of different materials on the earth’s surface. The authors go on to describe potential challenges due to HSI being acquired in hundreds of narrow and contiguous bands, represented as a 3-dimensional image cube, often causing the bands to contain information redundancy. They then show how processing a large number of bands adds challenges in terms of computation complexity that reduces efficiency. The authors then present how DR is an essential step in hyperspectral data analysis to solve these issues. Overall, the book helps readers understand the DR processes and its impact in effective HSI analysis.
Dimensionality Reduction of Hyperspectral Imagery by Arati Paul is 125 pages long, and a total of 31,875 words.
This makes it 42% the length of the average book. It also has 39% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 2 hours and 54 minutes to read Dimensionality Reduction of Hyperspectral Imagery aloud.
Dimensionality Reduction of Hyperspectral Imagery is suitable for students ages 10 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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