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Mathematical Models for Remote Sensing Image Processing

Part of the Signals and Communication Technology Book Series

Editors: Moser, Gabriele; Zerubia, Josiane

DOI: 10.1007/978-3-319-66330-2

ISBN: 978-3-319-66328-9

Publisher: Springer International Publishing - Springer Journals

Nov 28, 2017

1 - 10 of 10 Chapters

LitStream

Chapter 1Mathematical Models and Methods for Remote Sensing Image Analysis: An Introduction

Moser, Gabriele; Zerubia, Josiane; Serpico, Sebastiano B.; Benediktsson, Jon A.

Pages: 1 –36

[The current progress of remote sensing systems, based on airborne and spaceborne platforms and involving active and passive sensors, provides an unprecedented wealth of information about the Earth surface for environmental monitoring, sustainable resource management, disaster prevention,...
LitStream

Chapter 2Models for Hyperspectral Image Analysis: From Unmixing to Object-Based Classification

Maggiori, Emmanuel; Plaza, Antonio; Tarabalka, Yuliya

Pages: 37 –80

[The recent advances in hyperspectral remote sensing technology allow the simultaneous acquisition of hundreds of spectral wavelengths for each image pixel. This rich spectral information of the hyperspectral data makes it possible to discriminate different physical substances, leading to a...
LitStream

Chapter 3Very High Spatial Resolution Optical Imagery: Tree-Based Methods and Multi-temporal Models for Mining and Analysis

Pacifici, Fabio; Ouzounis, Georgios K.; Gueguen, Lionel; Marchisio, Giovanni; Emery, William J.

Pages: 81 –135

[This chapter presents a selection of image representation methods for very high spatial resolution optical data acquired by agile satellite platforms. Each method aims at specific properties of the image information content and can be tailored to address unique features in spatial, temporal, and...
LitStream

Chapter 4Very-High-Resolution and Interferometric SAR: Markovian and Patch-Based Non-local Mathematical Models

Deledalle, Charles-Alban; Denis, Loïc; Ferraioli, Giampaolo; Pascazio, Vito; Schirinzi, Gilda; Tupin, Florence

Pages: 137 –189

[This chapter is dedicated to very-high-resolution (VHR) SAR imagery, including interferometric applications. First, the principles of SAR data acquisition are presented as well as the different types of configurations. The widely adopted Gaussian complex model of fully developed speckle is...
LitStream

Chapter 5Polarimetric SAR Modelling: Mellin Kind Statistics and Time-Frequency Analysis

Eltoft, Torbjørn; Ferro-Famil, Laurent; Anfinsen, Stian N.; Doulgeris, Anthony P.

Pages: 191 –242

[Polarimetric synthetic aperture radar (PolSAR) remote sensing refers to measurement techniques that exploit the ability of a back scattering target to transform the polarization state of incoming electromagnetic waves to extract information. This field of remote sensing deals with complex,...
LitStream

Chapter 6Remote Sensing Data Fusion: Guided Filter-Based Hyperspectral Pansharpening and Graph-Based Feature-Level Fusion

Liao, Wenzhi; Chanussot, Jocelyn; Philips, Wilfried

Pages: 243 –275

[Recent advances in remote sensing technology have led to an increased availability of a multitude of satellite and airborne data sources, with increasing resolution. The term resolution here includes spatial and spectral resolutions. Additionally, at lower altitudes, airplanes and Unmanned...
LitStream

Chapter 7Remote Sensing Data Fusion: Markov Models and Mathematical Morphology for Multisensor, Multiresolution, and Multiscale Image Classification

Benediktsson, Jon A.; Cavallaro, Gabriele; Falco, Nicola; Hedhli, Ihsen; Krylov, Vladimir A.; Moser, Gabriele; Serpico, Sebastiano B.; Zerubia, Josiane

Pages: 277 –323

[Current and forthcoming sensor technologies and space missions are providing remote sensing scientists and practitioners with an increasing wealth and variety of data modalities. They encompass multisensor, multiresolution, multiscale, multitemporal, multipolarization, and multifrequency...
LitStream

Chapter 8Change Detection in Multitemporal Images Through Single- and Multi-scale Approaches

Aiazzi, Bruno; Bovolo, Francesca; Bruzzone, Lorenzo; Garzelli, Andrea; Pirrone, Davide; Zoppetti, Claudia

Pages: 325 –355

[This chapter presents an analysis of the current status and the challenges in change detection techniques for the analysis of multitemporal SAR images. Algorithms and methods based on validated statistical models for SAR data are investigated, which adopt advanced information-theoretic and...
LitStream

Chapter 9Satellite Image Time Series: Mathematical Models for Data Mining and Missing Data Restoration

Méger, Nicolas; Pasolli, Edoardo; Rigotti, Christophe; Trouvé, Emmanuel; Melgani, Farid

Pages: 357 –398

[One of the exceptional advantages of spaceborne remote sensors is their regular scanning of the Earth surface, resulting thus in Satellite Image Time Series (SITS), extremely useful to monitor natural or man-made phenomena on the ground. In this chapter, after providing a brief overview of the...
LitStream

Chapter 10Advances in Kernel Machines for Image Classification and Biophysical Parameter Retrieval

Tuia, Devis; Volpi, Michele; Verrelst, Jochem; Camps-Valls, Gustau

Pages: 399 –441

[Remote sensing data analysis is knowing an unprecedented upswing fostered by the activities of the public and private sectors of geospatial and environmental data analysis. Modern imaging sensors offer the necessary spatial and spectral information to tackle a wide range problems through Earth...

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