Neural networks for interpretation of remotely sensed data

In this topical collection (12 articles)

1. Research

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

   Giorgio Antonino Licciardi… Article:207

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2. Research

   Neural network-based clustering for agriculture management

   Kadim Taşdemir, Csaba Wirnhardt Article:200

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3. Research

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

   Hao Zhang, Xue-rong Cui, T Aaron Gulliver Article:185

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4. Research

   Integrating artificial neural network and classical methods for unsupervised classification of optical remote sensing data

   Ahmed AK Tahir Article:165

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5. Research

   Features extraction from SAR interferograms for tectonic applications

   Matteo Picchiani, Fabio Del Frate… Article:155

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6. Research

   Development of band ratioing algorithms and neural networks to detection of oil spills using Landsat ETM+ data

   Alireza Taravat, Fabio Del Frate Article:107

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7. Research

   Multi-sensor data merging with stacked neural networks for the creation of satellite long-term climate data records

   Diego G Loyola, Melanie Coldewey-Egbers Article:91

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8. Research

   Estimate of significant wave height from non-coherent marine radar images by multilayer perceptrons

   Raúl Vicen-Bueno, Cristina Lido-Muela… Article:84

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9. Research

   Neural network Jacobian analysis for high-resolution profiling of the atmosphere

   William J Blackwell Article:71

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10. Research

    Classification of hyperspectral imagery with neural networks: comparison to conventional tools

    Erzsébet Merényi, William H Farrand… Article:71

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11. Research

    Endmember induction by lattice associative memories and multi-objective genetic algorithms

    Manuel Graña, Miguel A Veganzones Article:64

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12. Research

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

    Antonio Di Noia, Pasquale Sellitto… Article:21

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