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Archaeological prospection of north Eastern Honduras with airborne mapping LiDAR.

J. Diaz, W. Carter, R. Shrestha, S. Leisz, C. Fisher, A. Gonzalez, D. Thompson, und S. Elkins. IGARSS, Seite 902-905. IEEE, (2014)

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L. Ahlgrimm

Lambert Theisen University of Stuttgart

Dr. Thorsten Lutz University of Stuttgart

The near-wake development of a wind turbine operating in stalled conditions : Part 1: Assessment of numerical modelsP. Weihing, M. Cormier, T. Lutz, und E. Krämer. Wind energy science, 9 (4): 933-962 (2024)

Hon. -Prof. Dr. Bettina Lotsch University of Stuttgart

Replication Data for: "Downsizing Porphyrin Covalent Organic Framework Particles Using Protected Precursors for Electrocatalytic CO2 Reduction"K. Endo, A. Raza, L. Yao, S. Gele, A. Rodríguez-Camargo, H. Vignolo-González, L. Grunenberg, und B. Lotsch. Dataset, (2024)Related to: K. Endo, A. Raza, L. Yao, S. Van Gele, A. Rodríguez-Camargo, H. A. Vignolo-González, L. Grunenberg, B. V. Lotsch, Downsizing Porphyrin Covalent Organic Framework Particles Using Protected Precursors for Electrocatalytic CO2 Reduction. Adv. Mater. 2024, 2313197. doi: 10.1002/adma.202313197.

Annika Liebgott

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)

Automated reference-free assessment of MR image quality using an active learning approach: Comparison of Support Vector Machine versus Deep Neural Network classificationS. Gatidis, A. Liebgott, M. Schwartz, P. Martirosian, F. Schick, K. Nikolaou, B. Yang, und T. Küstner. Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM), Honolulu, Hawaii, USA, (April 2017)An easy-to-use image labeling platform for automatic Magnetic Resonance Image Quality AssessmentT. Küstner, P. Wolf, M. Schwartz, A. Liebgott, F. Schick, S. Gatidis, und B. Yang. Proceedings of the IEEE International Symposium on Biomedical Imaging (ISBI), Melbourne, Australia, (April 2017)Automated image quality assessment in whole-body MRIS. Gatidis, A. Liebgott, H. Schmidt, N. Schwenzer, P. Martirosian, K. Nikolaou, F. Schick, B. Yang, und T. Küstner. Proceedings of the Radiological Society of North America (RSNA), Chicago, USA, (November 2016)

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Robust spatial-spectral hyperspectral image classification for vegetation stress detection.M. Cui, S. Prasad, L. Bruce, und R. Shrestha. IGARSS, Seite 5486-5489. IEEE, (2012)Airborne DInSAR Results Using Time-Domain Backprojection Algorithm: A Case Study Over the Slumgullion Landslide in Colorado With Validation Using Spaceborne SAR, Airborne LiDAR, and Ground-Based Observations.N. Cao, H. Lee, E. Zaugg, R. Shrestha, W. Carter, C. Glennie, G. Wang, Z. Lu, und J. Diaz. IEEE J Sel. Topics in Appl. Earth Observ. and Remote Sensing, 10 (11): 4987-5000 (2017)Ancient Maya Regional Settlement and Inter-Site Analysis: The 2013 West-Central Belize LiDAR Survey.A. Chase, D. Chase, J. Awe, J. Weishampel, G. Iannone, H. Moyes, J. Yaeger, M. Brown, R. Shrestha, W. Carter und 1 andere Autor(en). Remote Sensing, 6 (9): 8671-8695 (2014)Capability Assessment and Performance Metrics for the Titan Multispectral Mapping Lidar.J. Diaz, W. Carter, C. Glennie, R. Shrestha, Z. Pan, N. Ekhtari, A. Singhania, D. Hauser, und M. Sartori. Remote Sensing, 8 (11): 936 (2016)Predicting L-band Microwave Attenuation through Forest Canopy using Directional Structuring Elements and Airborne Lidar.W. Wright, P. Liu, K. Slatton, R. Shrestha, W. Carter, und H. Lee. IGARSS (3), Seite 688-691. IEEE, (2008)Shoreline Based Feature Extraction and Optimal Feature Selection for Segmenting Airborne LiDAR Intensity Images.M. Starek, R. Vemula, K. Slatton, R. Shrestha, und W. Carter. ICIP (4), Seite 369-372. IEEE, (2007)Optimizing ground return detection through forest canopies with small footprint airborne mapping LiDAR.J. Diaz, H. Lee, C. Glennie, W. Carter, R. Shrestha, A. Singhania, M. Sartori, und D. Hauser. IGARSS, Seite 1963-1966. IEEE, (2014)Archaeological prospection of north Eastern Honduras with airborne mapping LiDAR.J. Diaz, W. Carter, R. Shrestha, S. Leisz, C. Fisher, A. Gonzalez, D. Thompson, und S. Elkins. IGARSS, Seite 902-905. IEEE, (2014)Fusion of bathymetric LiDAR and hyperspectral imagery for shallow water bathymetry.Z. Pan, C. Glennie, J. Diaz, R. Shrestha, B. Carter, D. Hauser, A. Singhania, und M. Sartori. IGARSS, Seite 3792-3795. IEEE, (2016)Now You See It... Now You Don't: Understanding Airborne Mapping LiDAR Collection and Data Product Generation for Archaeological Research in Mesoamerica.J. Diaz, W. Carter, R. Shrestha, und C. Glennie. Remote Sensing, 6 (10): 9951-10001 (2014)