
Deep Learning
Feature Extraction via Transfer Learning and using predefined Model Architectures for Palm Plantation Identification
Several predefined deep learning computer vision models, such as LeNet, ResNet18, VGG16 and AlexNet are used to identify palm oil plantations in satellite images. The models are both trained from scratch and used as a feature extractor via transfer learning on the pretrained models.