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28 Jun 2021
EXPLORING CROSS-CITY SEMANTIC SEGMENTATION OF ALS POINT CLOUDS
Y. Xie, K. Schindler, J. Tian, and X. X. Zhu
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Interactive Snow Avalanche Segmentation from Webcam Imagery: results, potential and limitations
Elisabeth Doris Hafner, Theodora Kontogianni, Rodrigo Caye Daudt, Lucien Oberson, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
EGUsphere, https://doi.org/10.5194/egusphere-2024-498,https://doi.org/10.5194/egusphere-2024-498, 2024
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A high-resolution calving front data product for marine-terminating glaciers in Svalbard
Tian Li, Konrad Heidler, Lichao Mou, Ádám Ignéczi, Xiao Xiang Zhu, and Jonathan L. Bamber
Earth Syst. Sci. Data, 16, 919–939, https://doi.org/10.5194/essd-16-919-2024,https://doi.org/10.5194/essd-16-919-2024, 2024
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TOWARDS LARGE-SCALE BUILDING ATTRIBUTE MAPPING USING CROWDSOURCED IMAGES: SCENE TEXT RECOGNITION ON FLICKR AND PROBLEMS TO BE SOLVED
Y. Sun, A. Kruspe, L. Meng, Y. Tian, E. J. Hoffmann, S. Auer, and X. X. Zhu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 225–232, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-225-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-225-2023, 2023
TOWARDS ACCURATE INSTANCE SEGMENTATION IN LARGE-SCALE LIDAR POINT CLOUDS
B. Xiang, T. Peters, T. Kontogianni, F. Vetterli, S. Puliti, R. Astrup, and K. Schindler
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 605–612, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-605-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-605-2023, 2023
GEOMETRIC EVALUATION OF GAOFEN-7 STEREO DATA
P. d’Angelo and J. Tian
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 805–811, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-805-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-805-2023, 2023
A PRELIMINARY COMPARISON OF TWO EXCLUSION MAPS FOR LARGE-SCALE FLOOD MAPPING USING SENTINEL-1 DATA
J. Zhao, F. Roth, B. Bauer-Marschallinger, W. Wagner, M. Chini, and X. X. Zhu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 911–918, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-911-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-911-2023, 2023
Avalanche size estimation and avalanche outline determination by experts: reliability and implications for practice
Elisabeth D. Hafner, Frank Techel, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
Nat. Hazards Earth Syst. Sci., 23, 2895–2914, https://doi.org/10.5194/nhess-23-2895-2023,https://doi.org/10.5194/nhess-23-2895-2023, 2023
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Calving front monitoring at sub-seasonal resolution: a deep learning application to Greenland glaciers
Erik Loebel, Mirko Scheinert, Martin Horwath, Angelika Humbert, Julia Sohn, Konrad Heidler, Charlotte Liebezeit, and Xiao Xiang Zhu
The Cryosphere Discuss., https://doi.org/10.5194/tc-2023-52,https://doi.org/10.5194/tc-2023-52, 2023
Preprint under review for TC
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MDAS: a new multimodal benchmark dataset for remote sensing
Jingliang Hu, Rong Liu, Danfeng Hong, Andrés Camero, Jing Yao, Mathias Schneider, Franz Kurz, Karl Segl, and Xiao Xiang Zhu
Earth Syst. Sci. Data, 15, 113–131, https://doi.org/10.5194/essd-15-113-2023,https://doi.org/10.5194/essd-15-113-2023, 2023
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Automated avalanche mapping from SPOT 6/7 satellite imagery with deep learning: results, evaluation, potential and limitations
Elisabeth D. Hafner, Patrick Barton, Rodrigo Caye Daudt, Jan Dirk Wegner, Konrad Schindler, and Yves Bühler
The Cryosphere, 16, 3517–3530, https://doi.org/10.5194/tc-16-3517-2022,https://doi.org/10.5194/tc-16-3517-2022, 2022
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GRAPH NEURAL NETWORK BASED OPEN-SET DOMAIN ADAPTATION
S. Zhao, S. Saha, and X. X. Zhu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2022, 1407–1413, https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1407-2022,https://doi.org/10.5194/isprs-archives-XLIII-B3-2022-1407-2022, 2022
APPLICATION ORIENTED QUALITY EVALUATION OF GAOFEN-7 OPTICAL STEREO SATELLITE IMAGERY
J. Tian, X. Zhuo, X. Yuan, C. Henry, P. d’Angelo, and T. Krauss
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 145–152, https://doi.org/10.5194/isprs-annals-V-1-2022-145-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-145-2022, 2022
IMPLICITY: CITY MODELING FROM SATELLITE IMAGES WITH DEEP IMPLICIT OCCUPANCY FIELDS
C. Stucker, B. Ke, Y. Yue, S. Huang, I. Armeni, and K. Schindler
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2022, 193–201, https://doi.org/10.5194/isprs-annals-V-2-2022-193-2022,https://doi.org/10.5194/isprs-annals-V-2-2022-193-2022, 2022
FUSING MULTI-MODAL DATA FOR SUPERVISED CHANGE DETECTION
P. Ebel, S. Saha, and X. X. Zhu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 243–249, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-243-2021,https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-243-2021, 2021
GRAINet: mapping grain size distributions in river beds from UAV images with convolutional neural networks
Nico Lang, Andrea Irniger, Agnieszka Rozniak, Roni Hunziker, Jan Dirk Wegner, and Konrad Schindler
Hydrol. Earth Syst. Sci., 25, 2567–2597, https://doi.org/10.5194/hess-25-2567-2021,https://doi.org/10.5194/hess-25-2567-2021, 2021
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Intercomparison of photogrammetric platforms for spatially continuous snow depth mapping
Lucie A. Eberhard, Pascal Sirguey, Aubrey Miller, Mauro Marty, Konrad Schindler, Andreas Stoffel, and Yves Bühler
The Cryosphere, 15, 69–94, https://doi.org/10.5194/tc-15-69-2021,https://doi.org/10.5194/tc-15-69-2021, 2021
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SPATIAL-SPECTRAL MANIFOLD EMBEDDING OF HYPERSPECTRAL DATA
D. Hong, J. Yao, X. Wu, J. Chanussot, and X. Zhu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 423–428, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-423-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-423-2020, 2020
DETECTION OF UNDOCUMENTED BUILDINGS USING CONVOLUTIONAL NEURAL NETWORK AND OFFICIAL GEODATA
Q. Li, Y. Shi, S. Auer, R. Roschlaub, K. Möst, M. Schmitt, and X. X. Zhu
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 517–524, https://doi.org/10.5194/isprs-annals-V-2-2020-517-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-517-2020, 2020
EARLY DETECTION OF FOREST DROUGHT STRESS WITH VERY HIGH RESOLUTION STEREO AND HYPERSPECTRAL IMAGERY
J. Tian, T. Schneider, C. Kempf, Y. Xia, M. Lusseau, J. Hill, E. Jachmann, and P. Reinartz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-2-2020, 781–787, https://doi.org/10.5194/isprs-annals-V-2-2020-781-2020,https://doi.org/10.5194/isprs-annals-V-2-2020-781-2020, 2020
TREE DROUGHT STRESS DETECTION BASED ON 3D MODELLING
Y. Xia, J. Tian, P. d’Angelo, and P. Reinartz
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 205–210, https://doi.org/10.5194/isprs-annals-IV-2-W7-205-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-205-2019, 2019