Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features.
Erik LoebelMirko ScheinertMartin HorwathKonrad HeidlerJulia ChristmannLong Duc PhanAngelika HumbertXiao Xiang ZhuPublished in: IEEE Trans. Geosci. Remote. Sens. (2022)
Keyphrases
- multispectral
- deep learning
- input features
- digital elevation models
- satellite images
- machine learning algorithms
- machine learning
- remote sensing images
- image data
- feature selection
- image analysis
- remote sensing
- unsupervised learning
- class labels
- support vector machine
- gray level
- feature subset
- co occurrence
- feature set
- knn
- image processing
- neural network