Urban Land Use and Land Cover Classification Using Remotely Sensed SAR Data through Deep Belief Networks

Computer science: The learning machines

(2014) Nicola Jones   NATURE

Multitemporal polarimetric RADARSAT-2 SAR data for urban land cover mapping through a dictionary-based and a rule-based model selection in a contextual SEM algorithm

(2013) Xin Niu et al.   CANADIAN JOURNAL OF REMOTE SENSING

Object-Based Fusion of Multitemporal Multiangle ENVISAT ASAR and HJ-1B Multispectral Data for Urban Land-Cover Mapping

(2013) Yifang Ban et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Towards adaptive learning with improved convergence of deep belief networks on graphics processing units

(2013) Noel Lopes et al.   PATTERN RECOGNITION

A tutorial on synthetic aperture radar

(2013) Alberto Moreira et al.   IEEE Geoscience and Remote Sensing Magazine

Classification of Very High Resolution SAR Images of Urban Areas Using Copulas and Texture in a Hierarchical Markov Random Field Model

(2012) Aurelie Voisin et al.   IEEE Geoscience and Remote Sensing Letters

Markov Random Field Models for Non-Quadratic Regularization of Complex SAR Images

(2012) Dušan Gleich   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

An Adaptive Contextual SEM Algorithm for Urban Land Cover Mapping Using Multitemporal High-Resolution Polarimetric SAR Data

(2012) Xin Niu et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

A Textural–Contextual Model for Unsupervised Segmentation of Multipolarization Synthetic Aperture Radar Images

(2012) Vahid Akbari et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Superpixel-Based Classification With an Adaptive Number of Classes for Polarimetric SAR Images

(2012) Bin Liu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Multi-temporal RADARSAT-2 polarimetric SAR data for urban land-cover classification using an object-based support vector machine and a rule-based approach

(2012) Xin Niu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Unsupervised Polarimetric SAR Image Segmentation and Classification Using Region Growing With Edge Penalty

(2011) Peter Yu et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery

(2011) Soe W. Myint et al.   REMOTE SENSING OF ENVIRONMENT

Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

(2010) I Arel et al.   IEEE Computational Intelligence Magazine

Unsupervised Full-Polarimetric SAR Data Segmentation as a Tool for Classification of Agricultural Areas

(2010) D H Hoekman et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Deep Learning and Its Applications to Signal and Information Processing [Exploratory DSP

(2010) Dong Yu et al.   IEEE SIGNAL PROCESSING MAGAZINE

Hierarchical Segmentation of Polarimetric SAR Images Using Heterogeneous Clutter Models

(2010) Lionel Bombrun et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An Analysis of Texture Measures in PCA-Based Unsupervised Classification of SAR Images

(2009) V.V. Chamundeeswari et al.   IEEE Geoscience and Remote Sensing Letters

Segmentation and Classification of Polarimetric SAR Data Using Spectral Graph Partitioning

(2009) K. Ersahin et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Object based image analysis for remote sensing

(2009) T. Blaschke   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Region-Based Classification of Polarimetric SAR Images Using Wishart MRF

(2008) Yonghui Wu et al.   IEEE Geoscience and Remote Sensing Letters

Representational Power of Restricted Boltzmann Machines and Deep Belief Networks

(2008) Nicolas Le Roux et al.   NEURAL COMPUTATION