Fully Convolutional Networks and Geographic Object-Based Image Analysis for the Classification of VHR Imagery

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

(2018) Tao Liu et al.   GIScience & Remote Sensing

Very High Resolution Object-Based Land Use–Land Cover Urban Classification Using Extreme Gradient Boosting

(2018) Stefanos Georganos et al.   IEEE Geoscience and Remote Sensing Letters

Recurrent Multiresolution Convolutional Networks for VHR Image Classification

(2018) John Ray Bergado et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Classification with an edge: Improving semantic image segmentation with boundary detection

(2018) D. Marmanis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Using convolutional neural network to identify irregular segmentation objects from very high-resolution remote sensing imagery

(2018) Tengyu Fu et al.   Journal of Applied Remote Sensing

An object-based convolutional neural network (OCNN) for urban land use classification

(2018) Ce Zhang et al.   REMOTE SENSING OF ENVIRONMENT

An Object-Based Image Analysis Method for Enhancing Classification of Land Covers Using Fully Convolutional Networks and Multi-View Images of Small Unmanned Aerial System

(2018) Tao Liu et al.   Remote Sensing

Scale Matters: Spatially Partitioned Unsupervised Segmentation Parameter Optimization for Large and Heterogeneous Satellite Images

(2018) Stefanos Georganos et al.   Remote Sensing

A New Method for Region-Based Majority Voting CNNs for Very High Resolution Image Classification

(2018) Xianwei Lv et al.   Remote Sensing

Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application

(2017) Stefanos Georganos et al.   GIScience & Remote Sensing

Deep Fully Convolutional Networks for the Detection of Informal Settlements in VHR Images

(2017) Claudio Persello et al.   IEEE Geoscience and Remote Sensing Letters

Object-Based Convolutional Neural Network for High-Resolution Imagery Classification

(2017) Wenzhi Zhao et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Dense Semantic Labeling of Subdecimeter Resolution Images With Convolutional Neural Networks

(2017) Michele Volpi et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

(2017) Vijay Badrinarayanan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Contextually guided very-high-resolution imagery classification with semantic segments

(2017) Wenzhi Zhao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification

(2017) Taïs Grippa et al.   Remote Sensing

Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study

(2017) Emilio Guirado et al.   Remote Sensing

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

(2017) Xiao Xiang Zhu et al.   IEEE Geoscience and Remote Sensing Magazine

Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks

(2016) Dimitrios Marmanis et al.   IEEE Geoscience and Remote Sensing Letters

Contextualizing vulnerability assessment: a support to geo-risk management in central Africa

(2016) Caroline Michellier et al.   NATURAL HAZARDS

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

(2016) Martin Längkvist et al.   Remote Sensing

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Geographic Object-Based Image Analysis – Towards a new paradigm

(2013) Thomas Blaschke et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

(2012) Alekh Agarwal et al.   ANNALS OF STATISTICS

GRASS GIS: A multi-purpose open source GIS

(2011) Markus Neteler et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Unsupervised image segmentation evaluation and refinement using a multi-scale approach

(2011) Brian Johnson et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Object based image analysis for remote sensing

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