Signal and Image Processing for Remote Sensing

ISBN-13: 9781439855966 / Angielski / Twarda / 2012 / 624 str.

C.H. Chen;?Abar;?Abar

Opis

Highlighting the data acquisitions segment of remote sensing, this book covers Normalized Hilbert Transfroms and its applications, Statistical Pattern Recognition, Neural Network-Based Infrasound Event Classifier, the Siesmic Data Decomposition, and Kalman Filtering for Weak Signal Detection in Remote Sensing.

Spis treści

Signal Processing for Remote Sensing: On the Normalized Hilbert Transform and Its Applications to Remote Sensing. Nyquist Pulse-Based Empirical Mode Decomposition and Its Application to Remote Sensing Problems. Hydroacoustic Signal Classification Using Support Vector Machines. Huygens Construction and the Doppler Effect in Remote Detection. Compressed Remote Sensing. Context-Dependent Classification: An Approach for Achieving Robust Remote Sensing Performance in Changing Conditions. NMF and NTF for Sea Ice SAR Feature Extraction and Classification. Relating Time-Series of Meteorological and Remote Sensing Indices to Monitor Vegetation Moisture Dynamics. Use of a Prediction-Error Filter in Merging High- and Low-Resolution Images. Hyperspectral Microwave Atmospheric Sounding Using Neural Networks. Satellite Passive Millimeter-Wave Retrieval of Global Precipitation. Image Processing for Remote Sensing: On SAR Image Processing: From Focusing to Target Recognition. Polarimetric SAR Techniques for Remote Sensing of the Ocean Surface. An ISAR Technique for Refocussing Moving Targets in SAR Images. Active Learning Methods in Classification of Remote Sensing Images. Crater Detection Based on Marked Point Processes. Probability Density Function Estimation for Classification of High-Resolution SAR Images. Random Forest Classification of Remote Sensing Data. Sparse Representation for Target Detection and Classification in Hyperspectral Imagery. Integration of Full and Mixed Pixel Techniques to Obtain Thematic Maps with a Refined Resolution. Signal Subspace Identification in Hyperspecral Imagery. Image Classification and Object Detection Using Spatial Contextual Constraints. Data Fusion for Remote-Sensing Applications. Image Fusion in Remote Sensing with the Steered Hermite Transform. Wavelet-Based Multi/Hyperspectral Image Restoration and Fusion. The Land Cover Estimation with Satellite Image Using Neural Network. Twenty-Five　Years of Pansharpening: A Critical Review and New Developments. Index.