Time series remote sensing image classification framework using combination of deep learning and multiple classifiers system

Author:

Dou Peng,Shen Huanfeng,Li Zhiwei,Guan Xiaobin

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference48 articles.

1. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis;Belgiu;Remote Sens. Environ.,2018

2. Brownlee, J., 2018. Ensemble Learning Methods for Deep Learning Neural Networks, URL https://machinelearningmastery.com/ensemble-methods-for-deep-learning-neural-networks/ (Accessed 19 December, 2018).

3. Local block multilayer sparse extreme learning machine for effective feature extraction and classification of hyperspectral images;Cao;IEEE Trans. Geosci. Remote Sensing,2019

4. Improving land use/cover classification with a multiple classifier system using adaboost integration technique;Chen;Remote Sensing,2017

5. When deep learning meets metric learning: remote sensing image scene classification via learning discriminative CNNs;Cheng;IEEE Trans. Geosci. Remote Sensing,2018

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