EXPLORING THE APPLICABILITY OF SEMI-GLOBAL MATCHING FOR SAR-OPTICAL STEREOGRAMMETRY OF URBAN SCENES

Bagheri, H.; Schmitt, M.; d’Angelo, P.; Zhu, X. X.

doi:https://doi.org/10.5194/isprs-archives-XLII-2-43-2018

Articles | Volume XLII-2

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Articles | Volume XLII-2

https://doi.org/10.5194/isprs-archives-XLII-2-43-2018

Articles | Volume XLII-2

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30 May 2018

| 30 May 2018

EXPLORING THE APPLICABILITY OF SEMI-GLOBAL MATCHING FOR SAR-OPTICAL STEREOGRAMMETRY OF URBAN SCENES

H. Bagheri, M. Schmitt, P. d’Angelo, and X. X. Zhu

H. Bagheri

Signal Processing in Earth Observation, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany

M. Schmitt

Signal Processing in Earth Observation, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany

P. d’Angelo

Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany

X. X. Zhu

Signal Processing in Earth Observation, Technical University of Munich, Arcisstr. 21, 80333 Munich, Germany

Remote Sensing Technology Institute (IMF), German Aerospace Center (DLR), Oberpfaffenhofen, 82234 Wessling, Germany

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UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS

H. Bagheri, M. Schmitt, and X. X. Zhu

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 433–439, https://doi.org/10.5194/isprs-archives-XLII-1-W1-433-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-433-2017, 2017

Training for Emergencies - How Germany is Preparing for Large-Scale Emergencies Using the EUROMED 2024 Civil Protection Exercise as an Example

Veronika Gstaiger, Nils Machinia, Nina Merkle, Dominik Rosenbaum, Ronald Nippold, Manuel Muehlhaus, Pablo d’Angelo, Corentin Henry, Xiangtian Yuan, Reza Bahmanyar, Franz Kurz, and Christa-Maria Krieg

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-3-2024, 163–168, https://doi.org/10.5194/isprs-annals-X-3-2024-163-2024,https://doi.org/10.5194/isprs-annals-X-3-2024-163-2024, 2024

Velocity variations and hydrological drainage at Baltoro Glacier, Pakistan

Anna Wendleder, Jasmin Bramboeck, Jamie Izzard, Thilo Erbertseder, Pablo d'Angelo, Andreas Schmitt, Duncan J. Quincey, Christoph Mayer, and Matthias H. Braun

The Cryosphere, 18, 1085–1103, https://doi.org/10.5194/tc-18-1085-2024,https://doi.org/10.5194/tc-18-1085-2024, 2024

Short summary

This study analyses the basal sliding and the hydrological drainage of Baltoro Glacier, Pakistan. The surface velocity was characterized by a spring speed-up, summer peak, and autumn speed-up. Snow melt has the largest impact on the spring speed-up, summer velocity peak, and the transition from inefficient to efficient drainage. Drainage from supraglacial lakes contributed to the fall speed-up. Increased summer temperatures will intensify the magnitude of meltwater and thus surface velocities.

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AN EVALUATION OF STEREO AND MULTIVIEW ALGORITHMS FOR 3D RECONSTRUCTION WITH SYNTHETIC DATA

M. Fuentes Reyes, P. d’Angelo, and F. Fraundorfer

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-1-W2-2023, 1021–1028, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1021-2023,https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-1021-2023, 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

DSM2DTM: AN END-TO-END DEEP LEARNING APPROACH FOR DIGITAL TERRAIN MODEL GENERATION

K. Bittner, S. Zorzi, T. Krauß, and P. d’Angelo

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-1-W1-2023, 925–933, https://doi.org/10.5194/isprs-annals-X-1-W1-2023-925-2023,https://doi.org/10.5194/isprs-annals-X-1-W1-2023-925-2023, 2023

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

GENERATION OF REFERENCE VEHICLE TRAJECTORIES IN REAL-WORLD SITUATIONS USING AERIAL IMAGERY FROM A HELICOPTER

F. Kurz, P. Mendes, V. Gstaiger, R. Bahmanyar, P. d’Angelo, S. M. Azimi, S. Auer, N. Merkle, C. Henry, D. Rosenbaum, J. Hellekes, H. Runge, F. Toran, and P. Reinartz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-1-2022, 221–226, https://doi.org/10.5194/isprs-annals-V-1-2022-221-2022,https://doi.org/10.5194/isprs-annals-V-1-2022-221-2022, 2022

DIGITAL ELEVATION MODELS FROM STEREO, VIDEO AND MULTI-VIEW IMAGERY CAPTURED BY SMALL SATELLITES

P. d’Angelo and P. Reinartz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2021, 77–82, https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-77-2021,https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-77-2021, 2021

REAL-TIME AERIAL IMAGERY FOR CRISIS MANAGEMENT: LESSONS LEARNED FROM AN EUROPEAN CIVIL PROTECTION EXERCISE

N. Merkle, V. Gstaiger, E. Schröter, P. d’Angelo, S. M. Azimi, U. Kippnich, C. Barthel, and F. Kurz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1243–1249, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1243-2020,https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1243-2020, 2020

DENSE MATCHING COMPARISON BETWEEN CLASSICAL AND DEEP LEARNING BASED ALGORITHMS FOR REMOTE SENSING DATA

Y. Xia, P. d’Angelo, J. Tian, and P. Reinartz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 521–525, https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-521-2020,https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-521-2020, 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

LEARNING FROM NOISY SAMPLES FOR MAN-MADE IMPERVIOUS SURFACE MAPPING

C. Qiu, P. Gamba, M. Schmitt, and X. X. Zhu

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 787–794, https://doi.org/10.5194/isprs-annals-V-3-2020-787-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-787-2020, 2020

WEAKLY SUPERVISED SEMANTIC SEGMENTATION OF SATELLITE IMAGES FOR LAND COVER MAPPING – CHALLENGES AND OPPORTUNITIES

M. Schmitt, J. Prexl, P. Ebel, L. Liebel, and X. X. Zhu

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2020, 795–802, https://doi.org/10.5194/isprs-annals-V-3-2020-795-2020,https://doi.org/10.5194/isprs-annals-V-3-2020-795-2020, 2020

A SEMI-SUPERVISED APPROACH TO SAR-OPTICAL IMAGE MATCHING

L. H. Hughes and M. Schmitt

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 71–78, https://doi.org/10.5194/isprs-annals-IV-2-W7-71-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-71-2019, 2019

AGGREGATING CLOUD-FREE SENTINEL-2 IMAGES WITH GOOGLE EARTH ENGINE

M. Schmitt, L. H. Hughes, C. Qiu, and X. X. Zhu

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 145–152, https://doi.org/10.5194/isprs-annals-IV-2-W7-145-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-145-2019, 2019

SEN12MS – A CURATED DATASET OF GEOREFERENCED MULTI-SPECTRAL SENTINEL-1/2 IMAGERY FOR DEEP LEARNING AND DATA FUSION

M. Schmitt, L. H. Hughes, C. Qiu, and X. X. Zhu

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W7, 153–160, https://doi.org/10.5194/isprs-annals-IV-2-W7-153-2019,https://doi.org/10.5194/isprs-annals-IV-2-W7-153-2019, 2019

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

AIRCRAFT BASED REAL TIME BUNDLE ADJUSTMENT AND DIGITAL SURFACE MODEL GENERATION

P. d’Angelo and F. Kurz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 1643–1647, https://doi.org/10.5194/isprs-archives-XLII-2-W13-1643-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-1643-2019, 2019

LOCAL VERSUS GLOBAL VARIATIONAL APPROACHES TO ENHANCE WATERSHED TRANSFORMATION BASED INDIVIDUAL TREE CROWN SEGMENTATION OF DIGITAL SURFACE MODELS FROM 3K OPTICAL IMAGERY

C. Kempf, J. Tian, F. Kurz, P. d’Angelo, and P. Reinartz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 43–50, https://doi.org/10.5194/isprs-archives-XLII-2-W13-43-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-43-2019, 2019

PRECISE AERIAL IMAGE ORIENTATION USING SAR GROUND CONTROL POINTS FOR MAPPING OF URBAN LANDMARKS

F. Kurz, T. Krauß, H. Runge, D. Rosenbaum, and P. d’Angelo

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W13, 61–66, https://doi.org/10.5194/isprs-archives-XLII-2-W13-61-2019,https://doi.org/10.5194/isprs-archives-XLII-2-W13-61-2019, 2019

THE SEN1-2 DATASET FOR DEEP LEARNING IN SAR-OPTICAL DATA FUSION

M. Schmitt, L. H. Hughes, and X. X. Zhu

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 141–146, https://doi.org/10.5194/isprs-annals-IV-1-141-2018,https://doi.org/10.5194/isprs-annals-IV-1-141-2018, 2018

AUTOMATIC 3D LANE MARKING RECONSTRUCTION USING MULTI-VIEW AERIAL IMAGERY

C.-Y. Sheu, F. Kurz, and P. Angelo

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-1, 147–154, https://doi.org/10.5194/isprs-annals-IV-1-147-2018,https://doi.org/10.5194/isprs-annals-IV-1-147-2018, 2018

AUTOMATIC LARGE-SCALE 3D BUILDING SHAPE REFINEMENT USING CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS

K. Bittner, P. d’Angelo, M. Körner, and P. Reinartz

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 103–108, https://doi.org/10.5194/isprs-archives-XLII-2-103-2018,https://doi.org/10.5194/isprs-archives-XLII-2-103-2018, 2018

EFFECT OF THE TRAINING SET CONFIGURATION ON SENTINEL-2-BASED URBAN LOCAL CLIMATE ZONE CLASSIFICATION

C. P. Qiu, M. Schmitt, P. Ghamisi, and X. X. Zhu

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COLORIZING SENTINEL-1 SAR IMAGES USING A VARIATIONAL AUTOENCODER CONDITIONED ON SENTINEL-2 IMAGERY

M. Schmitt, L. H. Hughes, M. Körner, and X. X. Zhu

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2, 1045–1051, https://doi.org/10.5194/isprs-archives-XLII-2-1045-2018,https://doi.org/10.5194/isprs-archives-XLII-2-1045-2018, 2018

INVESTIGATION OF JOINT VISIBILITY BETWEEN SAR AND OPTICAL IMAGES OF URBAN ENVIRONMENTS

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DENSE MATCHING COMPARISON BETWEEN CENSUS AND A CONVOLUTIONAL NEURAL NETWORK ALGORITHM FOR PLANT RECONSTRUCTION

Y. Xia, J. Tian, P. d’Angelo, and P. Reinartz

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2, 303–309, https://doi.org/10.5194/isprs-annals-IV-2-303-2018,https://doi.org/10.5194/isprs-annals-IV-2-303-2018, 2018

AUTOMATIC ROOFTOP EXTRACTION IN STEREO IMAGERY USING DISTANCE AND BUILDING SHAPE REGULARIZED LEVEL SET EVOLUTION

J. Tian, T. Krauß, and P. d’Angelo

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1-W1, 393–397, https://doi.org/10.5194/isprs-archives-XLII-1-W1-393-2017,https://doi.org/10.5194/isprs-archives-XLII-1-W1-393-2017, 2017

A TIE POINT MATCHING STRATEGY FOR VERY HIGH RESOLUTION SAR-OPTICAL STEREOGRAMMETY OVER URBAN AREAS

C. P. Qiu, M. Schmitt, and X. X. Zhu

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UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS

H. Bagheri, M. Schmitt, and X. X. Zhu

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Pablo d’Angelo

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B1, 299–304, https://doi.org/10.5194/isprs-archives-XLI-B1-299-2016,https://doi.org/10.5194/isprs-archives-XLI-B1-299-2016, 2016

EXPLORING THE APPLICABILITY OF SEMI-GLOBAL MATCHING FOR SAR-OPTICAL STEREOGRAMMETRY OF URBAN SCENES

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