相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Road Extraction by Deep Residual U-Net
Zhengxin Zhang et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)
DeepUNet: A Deep Fully Convolutional Network for Pixel-Level Sea-Land Segmentation
Ruirui Li et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2018)
Ship Detection in Gaofen-3 SAR Images Based on Sea Clutter Distribution Analysis and Deep Convolutional Neural Network
Quanzhi An et al.
SENSORS (2018)
Automatic Building Segmentation of Aerial Imagery UsingMulti-Constraint Fully Convolutional Networks
Guangming Wu et al.
REMOTE SENSING (2018)
Deep Recurrent Neural Network for Agricultural Classification using multitemporal SAR Sentinel-1 for Camargue, France
Emile Ndikumana et al.
REMOTE SENSING (2018)
Road Extraction from High-Resolution Remote Sensing Imagery Using Deep Learning
Yongyang Xu et al.
REMOTE SENSING (2018)
Towards Operational Satellite-Based Damage-Mapping Using U-Net Convolutional Network: A Case Study of 2011 Tohoku Earthquake-Tsunami
Yanbing Bai et al.
REMOTE SENSING (2018)
Projection Shape Template-Based Ship Target Recognition in TerraSAR-X Images
Jiwei Zhu et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
Nataliia Kussul et al.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2017)
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2017)
Efficiency Assessment of Multitemporal C-Band Radarsat-2 Intensity and Landsat-8 Surface Reflectance Satellite Imagery for Crop Classification in Ukraine
Sergii Skakun et al.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2016)
In-Season Mapping of Crop Type with Optical and X-Band SAR Data: A Classification Tree Approach Using Synoptic Seasonal Features
Paolo Villa et al.
REMOTE SENSING (2015)
Integrating Color Features in Polarimetric SAR Image Classification
Stefan Uhlmann et al.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2014)
Integration of optical and synthetic aperture radar (SAR) images to differentiate grassland and alfalfa in Prairie area
Gang Hong et al.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2014)
Contribution of L-band SAR to systematic global mangrove monitoring
Richard Lucas et al.
MARINE AND FRESHWATER RESEARCH (2014)
Crop classification using multi-configuration SAR data in the North China Plain
Kun Jia et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2012)
A novel algorithm for land use and land cover classification using RADARSAT-2 polarimetric SAR data
Zhixin Qi et al.
REMOTE SENSING OF ENVIRONMENT (2012)
Polarimetric radar imaging: from basics to applications by Jong-Sen Lee and Eric Pottier
Iain H. Woodhouse
INTERNATIONAL JOURNAL OF REMOTE SENSING (2011)
Agricultural crop-type classification of multi-polarization SAR images using a hybrid entropy decomposition and support vector machine technique
Chue Poh Tan et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2011)
Field-based crop classification using SPOT4, SPOT5, IKONOS and QuickBird imagery for agricultural areas: a comparison study
Mustafa Turker et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2011)
Application of multi-temporal ENVISAT ASAR data to agricultural area mapping in the Pearl River Delta
Dan Wang et al.
INTERNATIONAL JOURNAL OF REMOTE SENSING (2010)
Spectral discrimination of papyrus vegetation (Cyperus papyrus L.) in swamp wetlands using field spectrometry
Elhadi Adam et al.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING (2009)
Learning Deep Architectures for AI
Yoshua Bengio
FOUNDATIONS AND TRENDS IN MACHINE LEARNING (2009)
Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data
M. C. Gonzalez-Sanpedro et al.
REMOTE SENSING OF ENVIRONMENT (2008)
Random Forests for land cover classification
PO Gislason et al.
PATTERN RECOGNITION LETTERS (2006)
On the relationship between training sample size and data dimensionality: Monte Carlo analysis of broadband multi-temporal classification
TG Van Niel et al.
REMOTE SENSING OF ENVIRONMENT (2005)
分享论文
