Deep learning-based monitoring of overshooting cloud tops from geostationary satellite data

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

Integrating the multi-label land-use concept and cellular automata with the artificial neural network-based Land Transformation Model: an integrated ML-CA-LTM modeling framework

(2017) Hichem Omrani et al.   GIScience & Remote Sensing

Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework

(2017) Xingrui Yu et al.   GIScience & Remote Sensing

Training Deep Convolutional Neural Networks for Land–Cover Classification of High-Resolution Imagery

(2017) Grant J. Scott et al.   IEEE Geoscience and Remote Sensing Letters

DeepPore: Fingerprint Pore Extraction Using Deep Convolutional Neural Networks

(2017) Han-Ul Jang et al.   IEEE SIGNAL PROCESSING LETTERS

Convolutional Neural Networks for Large-Scale Remote-Sensing Image Classification

(2017) Emmanuel Maggiori et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Feature learning and change feature classification based on deep learning for ternary change detection in SAR images

(2017) Maoguo Gong et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Online and offline handwritten Chinese character recognition: A comprehensive study and new benchmark

(2017) Xu-Yao Zhang et al.   PATTERN RECOGNITION

Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods

(2017) Massimiliano Patacchiola et al.   PATTERN RECOGNITION

Towards better exploiting convolutional neural networks for remote sensing scene classification

(2017) Keiller Nogueira et al.   PATTERN RECOGNITION

Detection of Tropical Overshooting Cloud Tops Using Himawari-8 Imagery

(2017) Miae Kim et al.   Remote Sensing

One-Dimensional Convolutional Neural Network Land-Cover Classification of Multi-Seasonal Hyperspectral Imagery in the San Francisco Bay Area, California

(2017) Daniel Guidici et al.   Remote Sensing

Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks

(2016) Tien Dat Pham et al.   GIScience & Remote Sensing

Convolutional Neural Network Based Automatic Object Detection on Aerial Images

(2016) Igor Sevo et al.   IEEE Geoscience and Remote Sensing Letters

Sea Ice Concentration Estimation During Melt From Dual-Pol SAR Scenes Using Deep Convolutional Neural Networks: A Case Study

(2016) Lei Wang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Spectral–Spatial Feature Extraction for Hyperspectral Image Classification: A Dimension Reduction and Deep Learning Approach

(2016) Wenzhi Zhao et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Text-Attentional Convolutional Neural Network for Scene Text Detection

(2016) Tong He et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

(2016) Ross Girshick et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Learning multiscale and deep representations for classifying remotely sensed imagery

(2016) Wenzhi Zhao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A Probabilistic Multispectral Pattern Recognition Method for Detection of Overshooting Cloud Tops Using Passive Satellite Imager Observations

(2016) Kristopher M. Bedka et al.   Journal of Applied Meteorology and Climatology

Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images

(2016) Weijia Li et al.   Remote Sensing

Hyperspectral Imagery Classification Using Sparse Representations of Convolutional Neural Network Features

(2016) Heming Liang et al.   Remote Sensing

Spectral–Spatial Classification of Hyperspectral Data Based on Deep Belief Network

(2015) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

On combining multiscale deep learning features for the classification of hyperspectral remote sensing imagery

(2015) Wenzhi Zhao et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Weakly supervised target detection in remote sensing images based on transferred deep features and negative bootstrapping

(2015) Peicheng Zhou et al.   MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Examining Deep Convective Cloud Evolution Using Total Lightning, WSR-88D, andGOES-14Super Rapid Scan Datasets*

(2015) Kristopher M. Bedka et al.   WEATHER AND FORECASTING

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

(2015) Jun Yue et al.   Remote Sensing Letters

Deep Convolutional Neural Networks for Hyperspectral Image Classification

(2015) Wei Hu et al.   Journal of Sensors

Vehicle Detection in Satellite Images by Hybrid Deep Convolutional Neural Networks

(2014) Xueyun Chen et al.   IEEE Geoscience and Remote Sensing Letters

Deep Learning-Based Classification of Hyperspectral Data

(2014) Yushi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Characterizing tropical overshooting deep convection from joint analysis of CloudSat and geostationary satellite observations

(2013) Hanii Takahashi et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Satellite-based overshooting top detection methods and an analysis of correlated weather conditions

(2012) Petra Mikuš et al.   ATMOSPHERIC RESEARCH

A-Train observations of deep convective storm tops

(2012) Martin Setvák et al.   ATMOSPHERIC RESEARCH

Learning Hierarchical Features for Scene Labeling

(2012) Clement Farabet et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Validation of Satellite-Based Objective Overshooting Cloud-Top Detection Methods UsingCloudSatCloud Profiling Radar Observations

(2012) Kristopher M. Bedka et al.   Journal of Applied Meteorology and Climatology

Comparison betweenGOES-12Overshooting-Top Detections, WSR-88D Radar Reflectivity, and Severe Storm Reports

(2012) Richard Dworak et al.   WEATHER AND FORECASTING

Objective Satellite-Based Detection of Overshooting Tops Using Infrared Window Channel Brightness Temperature Gradients

(2009) Kristopher Bedka et al.   Journal of Applied Meteorology and Climatology

Indication of water vapor transport into the lower stratosphere above midlatitude convective storms: Meteosat Second Generation satellite observations and radiative transfer model simulations

(2008) Martin Setvák et al.   ATMOSPHERIC RESEARCH