Loading…
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...
| Corporate Author: | |
|---|---|
| Other Authors: | , |
| Format: | e-Book |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2018.
|
| Edition: | 1st ed. 2018. |
| Series: | Signals and Communication Technology,
|
| Subjects: | |
| Online Access: | Full-text access View in OPAC |
Table of Contents:
- 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.