Deep Learning for Remote Sensing Images with Open Source Software (Hardcover, 1)

Introduction. Deep Learning Backgrounds. Patch Based Image Classification Using CNN. Patch Based Image Classification Using FCNN. Patch Based Image Classification with Hybrid Classifiers. Using Multiple Sources with Different Modalities. In Deep Learning Architectures. Semantic Segmentation of High-Resolution Images. Using a Convolutional Autoencoder Architecture to Perform Cloud Removal in Optical Image. Conclusions.