A high-accuracy ensemble method of convolutional neural networks for damaged building detection on post hurricane satellite images.
Zhiyang ZhangPublished in: CAIBDA (2022)
Keyphrases
- satellite images
- ensemble methods
- change detection
- high accuracy
- convolutional neural networks
- multispectral
- remote sensing
- prediction accuracy
- benchmark datasets
- satellite imagery
- high resolution satellite images
- remote sensing images
- random forest
- machine learning methods
- decision trees
- ensemble learning
- base classifiers
- high resolution
- neural network
- object detection
- urban areas
- land cover
- data mining
- ensemble classifier
- base learners
- image segmentation
- multilabel classification
- ensemble members
- face recognition