The t-SNE Algorithm as a Tool to Improve the Quality of Reference Data Used in Accurate Mapping of Heterogeneous Non-Forest Vegetation
出版年份 2019 全文链接
标题
The t-SNE Algorithm as a Tool to Improve the Quality of Reference Data Used in Accurate Mapping of Heterogeneous Non-Forest Vegetation
作者
关键词
-
出版物
Remote Sensing
Volume 12, Issue 1, Pages 39
出版商
MDPI AG
发表日期
2019-12-23
DOI
10.3390/rs12010039
参考文献
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- (2019) Łukasz Sławik et al. Remote Sensing
- An Efficient Hyperspectral Image Retrieval Method: Deep Spectral-Spatial Feature Extraction with DCGAN and Dimensionality Reduction Using t-SNE-Based NM Hashing
- (2018) Jing Zhang et al. Remote Sensing
- The Impact of Simulated Spectral Noise on Random Forest and Oblique Random Forest Classification Performance
- (2018) Na’eem Hoosen Agjee et al. Journal of Spectroscopy
- Effect of Training Class Label Noise on Classification Performances for Land Cover Mapping with Satellite Image Time Series
- (2017) Charlotte Pelletier et al. Remote Sensing
- A robust multi-class AdaBoost algorithm for mislabeled noisy data
- (2016) Bo Sun et al. KNOWLEDGE-BASED SYSTEMS
- The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data
- (2016) Giles Foody et al. ISPRS International Journal of Geo-Information
- Evaluating an unmanned aerial vehicle-based approach for assessing habitat extent and condition in fine-scale early successional mountain mosaics
- (2015) João Gonçalves et al. APPLIED VEGETATION SCIENCE
- Using information layers for mapping grassland habitat distribution at local to regional scales
- (2015) Oliver Buck et al. International Journal of Applied Earth Observation and Geoinformation
- Grassland habitat mapping by intra-annual time series analysis – Comparison of RapidEye and TerraSAR-X satellite data
- (2015) Christian Schuster et al. International Journal of Applied Earth Observation and Geoinformation
- Exploring issues of training data imbalance and mislabelling on random forest performance for large area land cover classification using the ensemble margin
- (2015) Andrew Mellor et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Impacts of Species Misidentification on Species Distribution Modeling with Presence-Only Data
- (2015) Hugo Costa et al. ISPRS International Journal of Geo-Information
- Remote sensing of scattered Natura 2000 habitats using a one-class classifier
- (2014) Stefanie Stenzel et al. International Journal of Applied Earth Observation and Geoinformation
- Categorizing Grassland Vegetation with Full-Waveform Airborne Laser Scanning: A Feasibility Study for Detecting Natura 2000 Habitat Types
- (2014) András Zlinszky et al. Remote Sensing
- Wetland mapping with LiDAR derivatives, SAR polarimetric decompositions, and LiDAR–SAR fusion using a random forest classifier
- (2013) Koreen Millard et al. CANADIAN JOURNAL OF REMOTE SENSING
- Assessing the quality of training data in the supervised classification of remotely sensed imagery: a correlation analysis
- (2012) Yong Ge et al. Journal of Spatial Science
- Isolation-Based Anomaly Detection
- (2012) Fei Tony Liu et al. ACM Transactions on Knowledge Discovery from Data
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- (2011) V.F. Rodriguez-Galiano et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Increasing the accuracy of neural network classification using refined training data
- (2008) Taskin Kavzoglu ENVIRONMENTAL MODELLING & SOFTWARE
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