Cargando…
Signal and image processing for remote sensing /
Continuing in the footsteps of the pioneering first edition, Signal and Image Processing for Remote Sensing, Second Edition explores the most up-to-date signal and image processing methods for dealing with remote sensing problems. Although most data from satellites are in image form, signal processi...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton, FL :
CRC Press,
©2012.
|
| Edición: | 2nd ed. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Front Cover; Contents; Preface; Editor; Contributors; Chapter 1: On the Normalized Hilbert Transform and Its Applications to Remote Sensing; Chapter 2. Nyquist Pulse-Based Empirical Mode Decomposition and Its Application to Remote Sensing Problems; Chapter 3. Hydroacoustic Signal Classification Using Support Vector Machines; Chapter 4. Huygens Construction and the Doppler Effect in Remote Detection; Chapter 5: Compressed Remote Sensing; Chapter 6. Context-Dependent Classification; Chapter 7. NMF and NTF for Sea Ice SAR Feature Extraction and Classification; Chapter 8: Relating Time Series of Meteorological and Remote Sensing Indices to Monitor Vegetation Moisture Dynamics; Chapter 9. Use of a Prediction-Error Filter in Merging High- and Low-Resolution Images; Chapter 10. Hyperspectral Microwave Atmospheric Sounding Using Neural Networks; Chapter 11: Satellite Passive Millimeter-Wave Retrieval of Global Precipitation; Chapter 12: On SAR Image Processing: From Focusing to Target Recognition; Chapter 13: Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface; Chapter 14. An ISAR Technique for Refocusing Moving Targets in SAR Images; Chapter 15. Active Learning Methods in Classification of Remote Sensing Images; Chapter 16: Crater Detection Based on Marked Point Processes.
- Chapter 17: Probability Density Function Estimation for Classification of High-Resolution SAR ImagesChapter 18: Random Forest Classification of Remote Sensing Data; Chapter 19. Sparse Representation for Target Detection and Classification in Hyperspectral Imagery; Chapter 20. Integration of Full and Mixed Pixel Techniques to Obtain Thematic Maps with a Refined Resolution; Chapter 21. Signal Subspace Identification in Hyperspectral Imagery; Chapter 22: Image Classification and Object Detection Using Spatial Contextual Constraints; Chapter 23: Data Fusion for Remote-Sensing Applications; Chapter 24: Image Fusion in Remote Sensing with the Steered Hermite Transform; Chapter 25: Wavelet-Based Multi/Hyperspectral Image Restoration and Fusion; Chapter 26: Land Cover Estimation with Satellite Image Using Neural Network; Chapter 27. Twenty-Five Years of Pansharpening; Back Cover.