Artificial intelligence techniques for satellite image analysis /
Saved in:
| Imprint: | Cham, Switzerland : Springer, [2020] |
|---|---|
| Description: | 1 online resource (viii, 274 pages) : illustrations (some color) |
| Language: | English |
| Series: | Remote sensing and digital image processing, 1567-3200 ; volume 24 Remote sensing and digital image processing ; v. 24. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/12602575 |
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| 245 | 0 | 0 | |a Artificial intelligence techniques for satellite image analysis / |c D. Jude Hemanth, editor. |
| 264 | 1 | |a Cham, Switzerland : |b Springer, |c [2020] | |
| 300 | |a 1 online resource (viii, 274 pages) : |b illustrations (some color) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Remote sensing and digital image processing, |x 1567-3200 ; |v volume 24 | |
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed November 20, 2019). | |
| 505 | 0 | |a 1. Heightening satellite image display via mobile augmented reality -- a cutting-edge planning model.- 2. Multithreading Approach for clustering of Multi-Plane Satellite Images.- 3. Classification of field level crop types with a time series satellite data using Deep Neural Network.- 4. Detection of ship from satellite images using deep convolutional neural networks with improved median filter.- 5. Artificial Bee Colony optimized contrast enhancement for satellite image fusion.- 6. Effective transform domain denoising of oceanographic sar images for improved target characterization.- 7. Fused segmentation algorithm for the detection of nutrient deficiency in crops using SAR images.- 8. Detection of natural features and objects in satellite images by semantic segmentation using neural networks.- 9. Change Detection of Tropical Mangrove Ecosystem with Subpixel Classification of Time Series Hyperspectral Imagery.- 10. Crop Classification and Mapping for Agricultural Land from Satellite Images.- 11. Next Generation Artificial Intelligence Techniques for Satellite Data Processing.- 12. A wavelet transform applied spectral index for effective water body extraction from moderate resolution satellite images. | |
| 520 | |a The main objective of this book is to provide a common platform for diverse concepts in satellite image processing. In particular it presents the state-of-the-art in Artificial Intelligence (AI) methodologies and shares findings that can be translated into real-time applications to benefit humankind. Interdisciplinary in its scope, the book will be of interest to both newcomers and experienced scientists working in the fields of satellite image processing, geo-engineering, remote sensing and Artificial Intelligence. It can be also used as a supplementary textbook for graduate students in various engineering branches related to image processing. | ||
| 504 | |a Includes bibliographical references. | ||
| 650 | 0 | |a Remote sensing |x Data processing. | |
| 650 | 0 | |a Artificial intelligence. |0 http://id.loc.gov/authorities/subjects/sh85008180 | |
| 650 | 7 | |a Artificial intelligence. |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Remote sensing |x Data processing. |2 fast |0 (OCoLC)fst01094475 | |
| 655 | 0 | |a Electronic books. | |
| 655 | 4 | |a Electronic books. | |
| 700 | 1 | |a Hemanth, D. Jude, |e editor. |0 http://id.loc.gov/authorities/names/no2018072240 | |
| 776 | 0 | 8 | |i Print version: |z 3030241777 |
| 830 | 0 | |a Remote sensing and digital image processing ; |v v. 24. |x 1567-3200 |0 http://id.loc.gov/authorities/names/n99830673 | |
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