Mathematical Models for Remote Sensing Image Processing Models and Methods for the Analysis of 2D Satellite and Aerial Images /

This book maximizes reader insights into the field of mathematical models and methods for the processing of two-dimensional remote sensing images. It presents a broad analysis of the field, encompassing passive and active sensors, hyperspectral images, synthetic aperture radar (SAR), interferometric...

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Gespeichert in:
Bibliographische Detailangaben
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Signals and Communication Technology,
Schlagworte:
Signal processing.
Image processing.
Speech processing systems.
Mathematical models.
Lasers.
Photonics.
Remote sensing.
ISBN:9783319663302
ISSN:1860-4862
Online-Zugang: Volltext
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Inhaltsangabe:
  • Mathematical models and methods for remote sensing image analysis: an introduction
  • Models for hyperspectral image analysis: from unmixing to object-based classification
  • Very high spatial resolution optical imagery: tree-based methods and multi-temporal models for mining and analysis
  • Very high resolution and interferometric SAR: Markovian and patch-based non-local mathematical models
  • Polarimetric SAR modelling: Mellin kind statistics and time-frequency analysis
  • Remote sensing data fusion: guided filter-based hyperspectral pansharpening and graph-based feature-level fusion
  • "Remote sensing data fusion: Markov models and mathematical morphology for multisensor, multiresolution, and multiscale image classification
  • Change detection in multitemporal images through single-and multi-scale approaches
  • Satellite image time series: mathematical models for data mining and missing data restoration
  • Advances in kernel machines for image classification and biophysical parameter retrieval.

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