Frontiers Remote Sensing Information (5 results)

Hardcover. Condition: Very Good. No Jacket. World Scientific Publishing Company, 2003. Hardcover, has crinkles to top quarter of first 200 pages, otherwise A BRAND NEW BOOK UNUSED . Full refund if not satisfied. 24 hour despatch.

Hardcover. Condition: Very Good. Hardcover, xiii + 614 pages, glossy paper throughout, numerous colour and b&w illustrations, NOT ex-library. Weight over 1.2kg. Little-used, attractive copy. A reversed reflection of what appears to be an old price in gold pen in the middle of inner front board (also very vaguely on free front endpaper). Interior is clean, bright, untanned, with unmarked text and uncreased corners, showing an occasional faint offset mark, small indentations to pages. Upper outer page edges with one small stray pen mark; good secure binding throughout. Boards show mild shelfworn marks and scratches, light scuffing, small indentations/creases to edges and spine ends. -- Written by leaders in the field of remote sensing information processing, this book covers the frontiers of remote sensors, especially with effective algorithms for signal/image processing and pattern recognition with remote sensing data. Sensor and data fusion issues, SAR images, hyperspectral images, and related special topics are also examined. Techniques making use of neural networks, wavelet transforms, and knowledge-based systems are emphasized. A special set of three chapters is devoted to seismic analysis and discrimination.In summary, the book provides an authoritative treatment of major topics in remote sensing information processing and defines new frontiers for these areas.Published without a dust jacket. -- Contents: 1. Remote Sensing Sensors: Capabilities & Information Processing Requirements; 2. Transform Methods in Remote Sensing Information Processing; Data Mining; 3. Scene Modeling & Image Mining with a Visual Grammar; 4. A Shape-Based Approach to Change Detection & Information Mining in Remote Sensing; SAR Image Processing; 5. A Review of Polarization Orientation Angle Estimation from Polarimetric Sar Data; 6. Unsupervised Classification of Natural Scenes from Polarimetric Interferometric Sar Data; 7. Wavelet Analysis of Satellite Images in Ocean Applications; 8. Wavelet-Based SAR Speckle Filters; 9. A Wavelet Representation of Multispectral Images; Military Applications of Remote Sensing; 10. Automating the Estimation of Various Meteorological Parameters Using Satellite Data & Machine Learning Techniques; Microwave Remote Sensing; 11. Reconstruction & Resolution Enhancement Techniques for Microwave Sensors; Statistical Pattern Recognition; 12. Advanced Classification Techniques: Partially Supervised Approaches; 13. Nearest Neighbor Decision Rule for Pixel Classification in Remote Sensing; 14. Unsupervised Segmentation of Hyperspectral Images Using Gauss-Markov Random Fields & PCA; Automatic Target Segmentation; 15. Multisensor Automatic Target Segmentation; Neural Networks; 16. Category Classification Using Neural Networks; 17. Application of Multiresolution Remote Sensing Image Analysis & Neural Techniques to Power Lines Surveillance; Change Detection; 18. Advances in Unsupervised Change Detection. Seismic Signal Processing; 19. Remote Detection Using Dual Sensors; 20. Edge-Preserving Smoothing for Enhancing 3-D Seismic Images; 21. Imaging Seismic Reflection Data at the Correct Depth Without Specifying an Accurate Velocity Model: Initial Numerical Examples of an Inverse Scattering Subseries; Time Series Prediction; 22. Seasonality Extraction from Time-Series of Satellite Sensor Data; Image Compression; 23. Near-Lossless Compression of Remote Sensing Data; Emerging Topics; 24. Image Enhancement in Ground Penetrating Radar Signal Processing to Detect Landmines; 25. Infra-Red Image Processing; 26. Hyperspectral Imaging Analysis & Applications.

Hardcover. Condition: New. US SELLER SHIPS FAST FROM USA.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: Buone. inglese Condizioni dell'esterno: Ottime Condizioni dell'interno: Ottime.