output
20162021
most citedLiDAR Ground Filtering Algorithm for Urban Areas Using Scan Line Based Segmentation

4 citations

5 papers

cs.CV2021

In the light of feature distributions: moment matching for Neural Style Transfer

Nikolai Kalischek, Jan Dirk Wegner, Konrad Schindler

Style transfer aims to render the content of a given image in the graphical/artistic style of another image. The fundamental concept underlying NeuralStyle Transfer (NST) is to int…

eess.IV2019

Application of Different Simulated Spectral Data and Machine Learning to Estimate the Chlorophyll a Concentration of Several Inland Waters

Philipp M. Maier, Sina Keller

Water quality is of great importance for humans and for the environment and has to be monitored continuously. It is determinable through proxies such as the chlorophyll a concentra…

cs.CV2018

Patch-based Evaluation of Dense Image Matching Quality

Zhenchao Zhang, Markus Gerke, George Vosselman +1

Airborne laser scanning and photogrammetry are two main techniques to obtain 3D data representing the object surface. Due to the high cost of laser scanning, we want to explore the…

stat.AP2017★ 4 cited

Pedestrian Positioning Using WiFi Fingerprints and a Foot-mounted Inertial Sensor

Yang Gu, Caifa Zhou, Andreas Wieser +1

Foot-mounted inertial positioning (FMIP) and fingerprinting based WiFi indoor positioning (FWIP) are two promising solutions for indoor positioning. However, FMIP suffers from accu…

cs.CV2016★ 4 cited

LiDAR Ground Filtering Algorithm for Urban Areas Using Scan Line Based Segmentation

Lei Wang, Yongun Zhang

This paper addresses the task of separating ground points from airborne LiDAR point cloud data in urban areas. A novel ground filtering method using scan line segmentation is propo…