Signal and Image Processing for Remote Sensing
eBook - PDF

Signal and Image Processing for Remote Sensing

  1. 619 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Signal and Image Processing for Remote Sensing

About this book

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 processing can contribute significantly in extracting info

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Yes, you can access Signal and Image Processing for Remote Sensing by C.H. Chen in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Engineering. We have over one million books available in our catalogue for you to explore.

Information

Publisher
CRC Press
Year
2012
Print ISBN
9781439855966
eBook ISBN
9781439855973
Edition
2
Topic
Computer Science
Subtopic
Computer Engineering
Index
Computer Science

Table of contents

  1. Front Cover
  2. Contents
  3. Preface
  4. Editor
  5. Contributors
  6. Chapter 1: On the Normalized Hilbert Transform and Its Applications to Remote Sensing
  7. Chapter 2: Nyquist Pulse-Based Empirical Mode Decomposition and Its Application to Remote Sensing Problems
  8. Chapter 3: Hydroacoustic Signal Classification Using Support Vector Machines
  9. Chapter 4: Huygens Construction and the Doppler Effect in Remote Detection
  10. Chapter 5: Compressed Remote Sensing
  11. Chapter 6: Context-Dependent Classification : An Approach for Achieving Robust Remote Sensing Performance in Changing Conditions
  12. Chapter 7: NMF and NTF for Sea Ice SAR Feature Extraction and Classification
  13. Chapter 8: Relating Time Series of Meteorological and Remote Sensing Indices to Monitor Vegetation Moisture Dynamics
  14. Chapter 9: Use of a Prediction-Error Filter in Merging High- and Low-Resolution Images
  15. Chapter 10: Hyperspectral Microwave Atmospheric Sounding Using Neural Networks
  16. Chapter 11: Satellite Passive Millimeter-Wave Retrieval of Global Precipitation
  17. Chapter 12: On SAR Image Processing : From Focusing to Target Recognition
  18. Chapter 13: Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface
  19. Chapter 14: An ISAR Technique for Refocusing Moving Targets in SAR Images
  20. Chapter 15: Active Learning Methods in Classification of Remote Sensing Images
  21. Chapter 16: Crater Detection Based on Marked Point Processes
  22. Chapter 17: Probability Density Function Estimation for Classification of High-Resolution SAR Images
  23. Chapter 18: Random Forest Classification of Remote Sensing Data
  24. Chapter 19: Sparse Representation for Target Detection and Classification in Hyperspectral Imagery
  25. Chapter 20: Integration of Full and Mixed Pixel Techniques to Obtain Thematic Maps with a Refined Resolution
  26. Chapter 21: Signal Subspace Identification in Hyperspectral Imagery
  27. Chapter 22: Image Classification and Object Detection Using Spatial Contextual Constraints
  28. Chapter 23: Data Fusion for Remote-Sensing Applications
  29. Chapter 24: Image Fusion in Remote Sensing with the Steered Hermite Transform
  30. Chapter 25: Wavelet-Based Multi/Hyperspectral Image Restoration and Fusion
  31. Chapter 26: Land Cover Estimation with Satellite Image Using Neural Network
  32. Chapter 27: Twenty-Five Years of Pansharpening : A Critical Review and New Developments
  33. Back Cover