Tag: neural network

  • Paper on Analysis of Feature Relevance in Deep Learning for 3D Point Cloud Classification

    A paper investigating the relevance of (pre-calculated) features for 3D point cloud classification using deep learning was just published in the ISPRS Annals of Photogrammetry and Remote Sensing. The study presents a non-end-to-end deep learning classifier for 3D point clouds using multiple sets of input features and compares it with an implementation of the state-of-the-art […]

  • DeepVGI: Deep Learning with Volunteered Geographic Information

    Deep learning techniques, esp. Convolutional Neural Networks (CNNs), are now widely studied for predictive analytics with remote sensing images, which can be further applied in different domains for ground object detection, population mapping, etc. These methods usually train predicting models with the supervision of a large set of training examples. However, finding ground truths especially […]

  • Successfull PhD Defence by Yingwei YAN

    Our recent team member Dr. Yingwei YAN successfully defended his PhD thesis this very week. We do congratulate him most cordially! The thesis was conducted at the National University of Singapore at the Department of Geography before he joined the GIScience Heidelberg team. Yingwei worked for example on using fuzzy set theory to assure the […]