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 [...]
Tag Archive 'neural network'
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 [...]