AN EVALUATION OF FEATURE LEARNING METHODS FOR HIGH RESOLUTION IMAGE CLASSIFICATION

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1. Classification of Stereo Images from Mobile Mapping Data Using Conditional Random Fields M. Coenen et al.
2. Skipping the real world: Classification of PolSAR images without explicit feature extraction R. Hänsch & O. Hellwich
3. Vegetation Cover Change and Its Causes in Changchun, Jilin Province from 2003 to 2020 子. 徐
4. Segmentation of aerial images for plausible detail synthesis O. Argudo et al.
5. Unsupervised Quaternion Feature Learning for Remote Sensing Image Classification V. Risojevic & Z. Babic
6. Natural Gas Induced Vegetation Stress Identification and Discrimination from Hyperspectral Imaging for Pipeline Leakage Detection P. Ma et al.
7. Ground-based image analysis: A tutorial on machine-learning techniques and applications S. Dev et al.
8. Features, Color Spaces, and Boosting: New Insights on Semantic Classification of Remote Sensing Images P. Tokarczyk et al.
9. Contextual segment-based classification of airborne laser scanner data G. Vosselman et al.