Joseph F. Knight
Orcid: 0000-0001-5846-9416
According to our database1,
Joseph F. Knight
authored at least 25 papers
between 2003 and 2023.
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Bibliography
2023
Remote. Sens., July, 2023
Improving Machine Learning Classifications of Phragmites australis Using Object-Based Image Analysis.
Remote. Sens., February, 2023
2022
The Applicability of LandTrendr to Surface Water Dynamics: A Case Study of Minnesota from 1984 to 2019 Using Google Earth Engine.
Remote. Sens., 2022
2021
Remote. Sens., 2021
Mapping Invasive Phragmites australis Using Unoccupied Aircraft System Imagery, Canopy Height Models, and Synthetic Aperture Radar.
Remote. Sens., 2021
2020
Prediction of Early Season Nitrogen Uptake in Maize Using High-Resolution Aerial Hyperspectral Imagery.
Remote. Sens., 2020
Ash Presence and Abundance Derived from Composite Landsat and Sentinel-2 Time Series and Lidar Surface Models in Minnesota, USA.
Remote. Sens., 2020
A locally-constrained YOLO framework for detecting small and densely-distributed building footprints.
Int. J. Geogr. Inf. Sci., 2020
2019
ACM Trans. Intell. Syst. Technol., 2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019
2018
Proceedings of the IEEE International Conference on Data Mining, 2018
An unsupervised augmentation framework for deep learning based geospatial object detection: a summary of results.
Proceedings of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018
2017
Spatial Ensemble Learning for Heterogeneous Geographic Data with Class Ambiguity: A Summary of Results.
Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017
2015
The Effects of Point or Polygon Based Training Data on RandomForest Classification Accuracy of Wetlands.
Remote. Sens., 2015
Comput. Electron. Agric., 2015
2014
Mapping wetland change of prairie pothole region in bigstone county from 1938 year to 2011 year.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
An object-based image analysis approach for mapping and monitoring flooding and topographic change near Duluth, Minnesota, USA.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014
Learning a Spatial Ensemble of Classifiers for Raster Classification: A Summary of Results.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014
2013
Influence of Multi-Source and Multi-Temporal Remotely Sensed and Ancillary Data on the Accuracy of Random Forest Classification of Wetlands in Northern Minnesota.
Remote. Sens., 2013
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013
2012
Application of MODIS Imagery for Intra-Annual Water Clarity Assessment of Minnesota Lakes.
Remote. Sens., 2012
Learning spatial decision tree for geographical classification: a summary of results.
Proceedings of the SIGSPATIAL 2012 International Conference on Advances in Geographic Information Systems (formerly known as GIS), 2012
2011
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2011
2003
IEEE Trans. Geosci. Remote. Sens., 2003