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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Moser, Gabriele (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Zerubia, Josiane (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Έκδοση: 1st ed. 2018.
• Σειρά: Signals and Communication Technology,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Mathematical models.; Lasers.; Photonics.; Remote sensing.; Signal, Image and Speech Processing.; Mathematical Modeling and Industrial Mathematics.; Optics, Lasers, Photonics, Optical Devices.; Remote Sensing/Photogrammetry.

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...

Πίνακας περιεχομένων:

• 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.