Tag: ALS

  • Classification of 3D ALS Point Clouds using End-To-End Deep Learning

    In a new publication, we show how deep neural networks can be used in an end-to-end manner for the classification of 3D point clouds from airborne laser scan data. The research, based on the award-winning diploma thesis of Lukas Winiwarter at TU Wien, has now been published in “PFG – Photogrammetrie, Fernerkundung, Geoinformation“, the Journal […]

  • Estimating tree height from TanDEM-X data at the northwestern Canadian treeline

    A new paper on tree height estimation from TanDEM-X data has just been published in Remote Sensing of Environment. The article finds that tree height can be predicted using TanDEM-X metrics (backscatter, bistatic coherence, and interferometric height) in the sparse forest patches of the Arctic treeline zone at the transition from forest to tundra. Taking […]

  • How to combine OpenStreetMap and Airborne Laser Scanning data for updating Digital Elevation Models?

    The answer can be found in our most recent paper “Updating Digital Elevation Models via Change Detection and Fusion of Human and Remote Sensor Data in Urban Environments” that has just been finally released in the International Journal of Digital Earth. You can find a preprint version of the article freely accessible here: http://koenigstuhl.geog.uni-heidelberg.de/publications/2015/Hoefle/Klonner_et_al_2015_preprint.pdf Citation […]