Skip to main content

Neural Networks for Interpretation of Remotely Sensed Data

Recent advances in sensor and computer technology are revolutionizing the way remotely sensed data is
collected, managed, and interpreted. The main purpose of this special issue is to provide a cross-section of the state-of-the-art in the area and to offer a thoughtful perspective on the potentials and the emerging challenges of applying ANNs to the analysis and interpretation of the new generation of remotely sensed data sets. The special issue will equally cover methodological innovations (e.g., development of new ANN architectures or modifications of existing ones, including advanced training strategies) and new applications of ANNs in EO and planetary exploration.

Edited by: Javier Plaza, Fabio Del Frate and Erzsebet Merenyi

  1. Research

    Tropospheric ozone column retrieval from OMI data by means of neural networks: a validation exercise with ozone soundings over Europe

    The retrieval of the tropospheric ozone column from satellite data is very important for the characterization of tropospheric chemical and physical properties. However, the task of retrieving tropospheric ozon...

    Antonio Di Noia, Pasquale Sellitto, Fabio Del Frate, Marco Cervino, Marco Iarlori and Vincenzo Rizi

    EURASIP Journal on Advances in Signal Processing 2013 2013:21

    Published on: 19 February 2013

  2. Research

    Fusion of hyperspectral and panchromatic images using multiresolution analysis and nonlinear PCA band reduction

    This article presents a novel method for the enhancement of the spatial quality of hyperspectral (HS) images through the use of a high resolution panchromatic (PAN) image. Due to the high number of bands, the ...

    Giorgio Antonino Licciardi, Muhammad Murtaza Khan, Jocelyn Chanussot, Annick Montanvert, Laurent Condat and Christian Jutten

    EURASIP Journal on Advances in Signal Processing 2012 2012:207

    Published on: 25 September 2012

  3. Research

    Neural network-based clustering for agriculture management

    Remote sensing images have been used productively for land cover identification to accurately manage and control agricultural and environmental resources. However, these images have often been interpreted inte...

    Kadim Taşdemir and Csaba Wirnhardt

    EURASIP Journal on Advances in Signal Processing 2012 2012:200

    Published on: 18 September 2012

  4. Research

    Remotely-sensed TOA interpretation of synthetic UWB based on neural networks

    Because of the good penetration into many common materials and inherent fine resolution, Ultra-Wideband (UWB) signals are widely used in remote sensing applications. Typically, accurate Time of Arrival (TOA) e...

    Hao Zhang, Xue-rong Cui and T Aaron Gulliver

    EURASIP Journal on Advances in Signal Processing 2012 2012:185

    Published on: 25 August 2012

  5. Research

    Features extraction from SAR interferograms for tectonic applications

    In this article, a new technique for features extraction from SAR interferograms is presented. The technique combines the properties of auto-associative neural networks with those of more traditional approache...

    Matteo Picchiani, Fabio Del Frate, Giovanni Schiavon and Salvatore Stramondo

    EURASIP Journal on Advances in Signal Processing 2012 2012:155

    Published on: 20 July 2012