Convolutional Neural Network-Based Remote Sensing Images Segmentation Method for Extracting Winter Wheat Spatial Distribution

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study

(2018) Jose Dolz et al.   NEUROIMAGE

LF-SegNet: A Fully Convolutional Encoder–Decoder Network for Segmenting Lung Fields from Chest Radiographs

(2018) Ajay Mittal et al.   WIRELESS PERSONAL COMMUNICATIONS

Hyperspectral Image Classification Using Convolutional Neural Networks and Multiple Feature Learning

(2018) Qishuo Gao et al.   Remote Sensing

Representative Band Selection for Hyperspectral Image Classification

(2018) Fuding Xie et al.   ISPRS International Journal of Geo-Information

Fuzzy prediction of AWJ turbulence characteristics by using typical multi-phase flow models

(2017) Zhongwei Liang et al.   Engineering Applications of Computational Fluid Mechanics

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

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

Classification for High Resolution Remote Sensing Imagery Using a Fully Convolutional Network

(2017) Gang Fu et al.   Remote Sensing

Maritime Semantic Labeling of Optical Remote Sensing Images with Multi-Scale Fully Convolutional Network

(2017) Haoning Lin et al.   Remote Sensing

Application of computational fluid dynamics and surrogate-coupled evolutionary computing to enhance centrifugal-pump performance

(2016) Sayed Ahmed Imran Bellary et al.   Engineering Applications of Computational Fluid Mechanics

Supervised remote sensing image segmentation using boosted convolutional neural networks

(2016) Essa Basaeed et al.   KNOWLEDGE-BASED SYSTEMS

Automatic age estimation based on deep learning algorithm

(2016) Yuan Dong et al.   NEUROCOMPUTING

Classification and Segmentation of Satellite Orthoimagery Using Convolutional Neural Networks

(2016) Martin Längkvist et al.   Remote Sensing

Hyperspectral Image Classification via Multitask Joint Sparse Representation and Stepwise MRF Optimization

(2016) Yuan Yuan et al.   IEEE Transactions on Cybernetics

PCANet: A Simple Deep Learning Baseline for Image Classification?

(2015) Tsung-Han Chan et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

Detection guided deconvolutional network for hierarchical feature learning

(2015) Jing Liu et al.   PATTERN RECOGNITION

Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

(2015) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

Transferring Deep Convolutional Neural Networks for the Scene Classification of High-Resolution Remote Sensing Imagery

(2015) Fan Hu et al.   Remote Sensing

Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information

(2014) Jiahua Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Computer science: The learning machines

(2014) Nicola Jones   NATURE

Wheat Acreage Estimation Using Remote Sensing inTaraiRegion of Uttarakhand

(2014) Ankita Jha et al.   Vegetos

Robust Autodual Morphological Profiles for the Classification of High-Resolution Satellite Images

(2013) Bin Luo et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An SVM Ensemble Approach Combining Spectral, Structural, and Semantic Features for the Classification of High-Resolution Remotely Sensed Imagery

(2012) Xin Huang et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Support vector machines in remote sensing: A review

(2010) Giorgos Mountrakis et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques

(2010) C.L. Wu et al.   JOURNAL OF HYDROLOGY

A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data

(2010) I. Becker-Reshef et al.   REMOTE SENSING OF ENVIRONMENT

A neural network approach using multi-scale textural metrics from very high-resolution panchromatic imagery for urban land-use classification

(2009) Fabio Pacifici et al.   REMOTE SENSING OF ENVIRONMENT