Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
出版年份 2017 全文链接
标题
Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
作者
关键词
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出版物
GIScience & Remote Sensing
Volume 54, Issue 5, Pages 741-758
出版商
Informa UK Limited
发表日期
2017-05-06
DOI
10.1080/15481603.2017.1323377
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- An adaptive unimodal subclass decomposition (AUSD) learning system for land use and land cover classification using high-resolution remote sensing
- (2016) Min Han et al. GIScience & Remote Sensing
- Integration of full-waveform LiDAR and hyperspectral data to enhance tea and areca classification
- (2016) Hone-Jay Chu et al. GIScience & Remote Sensing
- Temporal replication of the national land cover database using active machine learning
- (2016) Galen J. Maclaurin et al. GIScience & Remote Sensing
- Object-oriented and pixel-based classification approaches to classify tropical successional stages using airborne high–spatial resolution images
- (2016) Gustavo Antonio Piazza et al. GIScience & Remote Sensing
- Scene Classification via a Gradient Boosting Random Convolutional Network Framework
- (2016) Fan Zhang et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Detecting fractional land-cover change in arid and semiarid urban landscapes with multitemporal Landsat Thematic mapper imagery
- (2015) Chi Zhang et al. GIScience & Remote Sensing
- Object-based urban land cover classification using rule inheritance over very high-resolution multisensor and multitemporal data
- (2015) Ejaz Hussain et al. GIScience & Remote Sensing
- Deep Learning Based Feature Selection for Remote Sensing Scene Classification
- (2015) Qin Zou et al. IEEE Geoscience and Remote Sensing Letters
- Remote Sensing Image Classification: No Features, No Clustering
- (2015) Shiyong Cui et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Scene Classification Based on the Multifeature Fusion Probabilistic Topic Model for High Spatial Resolution Remote Sensing Imagery
- (2015) Yanfei Zhong et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Urban population estimation based on residential buildings volume using IKONOS-2 images and lidar data
- (2015) Lívia Tomás et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Rotation-invariant convolutional neural networks for galaxy morphology prediction
- (2015) Sander Dieleman et al. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
- Deep learning
- (2015) Yann LeCun et al. NATURE
- Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups
- (2012) Geoffrey Hinton et al. IEEE SIGNAL PROCESSING MAGAZINE
- Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery
- (2011) Soe W. Myint et al. REMOTE SENSING OF ENVIRONMENT
- A novel semisupervised SVM for pixel classification of remote sensing imagery
- (2011) Ujjwal Maulik et al. International Journal of Machine Learning and Cybernetics
- A Hybrid Approach for Land Use/Land Cover Classification
- (2009) Yanbing Tang et al. GIScience & Remote Sensing
- Object based image analysis for remote sensing
- (2009) T. Blaschke ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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