3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
出版年份 2018 全文链接
标题
3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images
作者
关键词
-
出版物
Remote Sensing
Volume 10, Issue 2, Pages 75
出版商
MDPI AG
发表日期
2018-01-09
DOI
10.3390/rs10010075
参考文献
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。- Deep Learning Classification of Land Cover and Crop Types Using Remote Sensing Data
- (2017) Nataliia Kussul et al. IEEE Geoscience and Remote Sensing Letters
- Spectral–Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network
- (2017) Ying Li et al. Remote Sensing
- Resting State fMRI Functional Connectivity-Based Classification Using a Convolutional Neural Network Architecture
- (2017) Regina J. Meszlényi et al. Frontiers in Neuroinformatics
- Crop classification of upland fields using Random forest of time-series Landsat 7 ETM+ data
- (2015) Kenichi Tatsumi et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Deep learning
- (2015) Yann LeCun et al. NATURE
- A Hidden Markov Models Approach for Crop Classification: Linking Crop Phenology to Time Series of Multi-Sensor Remote Sensing Data
- (2015) Sofia Siachalou et al. Remote Sensing
- Deep Learning-Based Classification of Hyperspectral Data
- (2014) Yushi Chen et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Combined use of multi-seasonal high and medium resolution satellite imagery for parcel-related mapping of cropland and grassland
- (2014) T. Esch et al. International Journal of Applied Earth Observation and Geoinformation
- Accurate mapping of forest types using dense seasonal Landsat time-series
- (2014) Xiaolin Zhu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Impact of feature selection on the accuracy and spatial uncertainty of per-field crop classification using Support Vector Machines
- (2013) F. Löw et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- 3D Convolutional Neural Networks for Human Action Recognition
- (2012) Shuiwang Ji et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Efficiency Assessment of Different Approaches to Crop Classification Based on Satellite and Ground Observations
- (2012) Javier Gallego et al. JOURNAL OF AUTOMATION AND INFORMATION SCIENCES
- Long-term land cover dynamics by multi-temporal classification across the Landsat-5 record
- (2012) Joseph O. Sexton et al. REMOTE SENSING OF ENVIRONMENT
- Temporal segmentation of MODIS time series for improving crop classification in Central Asian irrigation systems
- (2011) Christopher Conrad et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Crop Classification by Forward Neural Network with Adaptive Chaotic Particle Swarm Optimization
- (2011) Yudong Zhang et al. SENSORS
- Deep, Big, Simple Neural Nets for Handwritten Digit Recognition
- (2010) Dan Claudiu Cireşan et al. NEURAL COMPUTATION
- Per-Field Irrigated Crop Classification in Arid Central Asia Using SPOT and ASTER Data
- (2010) Christopher Conrad et al. Remote Sensing
- The Contribution of ALOS PALSAR Multipolarization and Polarimetric Data to Crop Classification
- (2009) H. McNairn et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Crop classification using biologically-inspired techniques with high resolution satellite image
- (2009) S. N. Omkar et al. Journal of the Indian Society of Remote Sensing
- Nearest Neighbor Classification of Remote Sensing Images With the Maximal Margin Principle
- (2008) E. Blanzieri et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Crop classification by support vector machine with intelligently selected training data for an operational application
- (2008) Ajay Mathur et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- The use of high‐resolution image time series for crop classification and evapotranspiration estimate over an irrigated area in central Morocco
- (2007) V. Simonneaux et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
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