U. Knauer

发表

Remote Sensing and Spatial Information Sciences

R. Reulke, U. Knauer, 2005 .

APPLICATION OF AN ADAPTIVE BACKGROUND MODEL FOR MONITORING HONEYBEES

Michael Himmelsbach, Beate Meffert, Frank Winkler, 2005 .

THE STRUCTURE OF ROAD TRAFFIC SCENES AS REVEALED BY UNSUPERVISED ANALYSIS OF THE TIME AVERAGED OPTICAL FLOW

U. Knauer, B. Meffert, T. Dammeier, 2006 .

Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images

U. Knauer, U. Seiffert, A. Matros, 2017, Plant Methods.

An Approach for Automated Registration of Hyperspectral Images for Boresight Calibration

U. Knauer, U. Seiffert, 2015 .

Fast image segmentation based on boosted random forests, integral images, and features on demand

Udo Seiffert, Uwe Knauer, U. Knauer, 2014, 2014 IEEE Symposium on Computational Intelligence in Ensemble Learning (CIEL).

Fast Computation of Region Homogeneity with Application in a Surveillance Task

Beate Meffert, Uwe Knauer, U. Knauer, 2010 .

Tree Species Classification Based on Hybrid Ensembles of a Convolutional Neural Network (CNN) and Random Forest Classifiers

Udo Seiffert, Ina Ehrhardt, Uwe Knauer, 2019, Remote. Sens..

Evaluation of RGB and Multispectral Unmanned Aerial Vehicle (UAV) Imagery for High-Throughput Phenotyping and Yield Prediction in Barley Breeding

Udo Seiffert, Uwe Knauer, Klaus Pillen, 2021, Remote. Sens..

Improved classification accuracy of powdery mildew infection levels of wine grapes by spatial-spectral analysis of hyperspectral images

U. Knauer, U. Seiffert, A. Matros, 2017, Plant Methods.

Cascaded Reduction and Growing of Result Sets for Combining Object Detectors

Udo Seiffert, Uwe Knauer, U. Knauer, 2013, MCS.

Detection of opened brood cells at an early stage

Robert Stein, Beate Meffert, Uwe Knauer, 2007 .