
XXIV ISPRS Congress
2021 Digital Edition
Nice, France, 05.07.2021 - 09.07.2021
Organizer: Société Française de Photogrammétrie et de Télédétection / Nicolas Paparoditis
Type of Event: Congress
Multi Media Type: Remote
Session: IPS.MO.1.II
Interactive Poster Session - 5th July
Single Presentations

Information acquisition on pedestrian movements in urban traffic with a mobile multi-sensor system
Corresponding paper: INFORMATION ACQUISITION ON PEDESTRIAN MOVEMENTS IN URBAN TRAFFIC WITH A MOBILE MULTI-SENSOR SYSTEM
Auhor(s): B. Borgmann, M. Hebel, M. Arens, and U. Stilla
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-131-2021

A portable opto-acoustic survey solution for mapping of underwater targets
Corresponding paper: A PORTABLE OPTO-ACOUSTIC SURVEY SOLUTION FOR MAPPING OF UNDERWATER TARGETS
Auhor(s): B. Chemisky, E. Nocerino, F. Menna, M. M. Nawaf, and P. Drap
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-651-2021

A NOVEL APPROACH TO REGISTER MULTI-PLATFORM POINT CLOUDS FOR ROCKFALL MONITORING
Corresponding paper: A NOVEL APPROACH TO REGISTER MULTI-PLATFORM POINT CLOUDS FOR ROCKFALL MONITORING
Auhor(s): D. Bolkas, G. Walton, R. Kromer, T. Sichler, and L. Weidner
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-693-2021

Automatic detection and vectorization of roadway elements in point cloud and panoramic images from mobile mapping system
Corresponding paper: AUTOMATIC DETECTION AND VECTORIZATION OF LINEAR AND POINT OBJECTS IN 3D POINT CLOUD AND PANORAMIC IMAGES FROM MOBILE MAPPING SYSTEM
Auhor(s): E. Barçon and A. Picard
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-305-2021

Photogrammetric underwater and UAS surveys of archaeological sites: the case study of the Roman shipwreck of Torre Santa Sabina
Corresponding paper: PHOTOGRAMMETRIC UNDERWATER AND UAS SURVEYS OF ARCHAEOLOGICAL SITES: THE CASE STUDY OF THE ROMAN SHIPWRECK OF TORRE SANTA SABINA
Auhor(s): A. Calantropio, F. Chiabrando, and R. Auriemma
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-643-2021

Adaptive and Non-adaptive Fusion Algorithms Analysis for Depth Maps Generated using Census and Convolutional Neural networks (MC-CNN)
Corresponding paper: ADAPTIVE AND NON-ADAPTIVE FUSION ALGORITHMS ANALYSIS FOR DIGITAL SURFACE MODEL GENERATED USING CENSUS AND CONVOLUTIONAL NEURAL NETWORKS
Auhor(s): H. Albanwan and R. Qin
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-283-2021

Semantic segmentation of Mobile Laser Scanning point clouds with Long Short-Term Memory networks: Preliminary results
Corresponding paper: SEMANTIC SEGMENTATION OF MOBILE LASER SCANNING POINT CLOUDS WITH LONG SHORT-TERM MEMORY NETWORKS: PRELIMINARY RESULTS
Auhor(s): J. Balado, P. van Oosterom, L. Díaz-Vilariño, and P. Arias
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-123-2021

CALIBRATION AND VALIDATION OF THE INTEL T265 FOR VISUAL LOCALISATION AND TRACKING UNDERWATER
Corresponding paper: CALIBRATION AND VALIDATION OF THE INTEL T265 FOR VISUAL LOCALISATION AND TRACKING UNDERWATER
Auhor(s): T. Appelt, J. van der Lucht, M. Bleier, and A. Nüchter
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-635-2021

Identification of misclassified pixels in semantic segmentation with uncertainty evaluation
Corresponding paper: IDENTIFICATION OF MISCLASSIFIED PIXELS IN SEMANTIC SEGMENTATION WITH UNCERTAINTY EVALUATION
Auhor(s): L. E. Budde, D. Bulatov, and D. Iwaszczuk
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-441-2021

Influence of illumination changes on image-based 3D surface reconstruction
Corresponding paper: INFLUENCE OF ILLUMINATION CHANGES ON IMAGE-BASED 3D SURFACE RECONSTRUCTION
Auhor(s): N. Bruno, A. Giacomini, R. Roncella, and K. Thoeni
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-701-2021

Road type classification of MLS point clouds using deep learning
Corresponding paper: ROAD TYPE CLASSIFICATION OF MLS POINT CLOUDS USING DEEP LEARNING
Auhor(s): Q. Bai, R. C. Lindenbergh, J. Vijverberg, and J. A. P. Guelen
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-115-2021

AUTOMATIC OBJECT SEGMENTATION TO SUPPORT CRISIS MANAGEMENT OF LARGE-SCALE EVENTS
Corresponding paper: AUTOMATIC OBJECT SEGMENTATION TO SUPPORT CRISIS MANAGEMENT OF LARGE-SCALE EVENTS
Auhor(s): S. M. Azimi, R. Kiefl, V. Gstaiger, R. Bahmanyar, N. Merkle, C. Henry, D. Rosenbaum, and F. Kurz
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-433-2021

Label-efficient Deep Learning-based Semantic Segmentation of Building Point Cloud at LoD3 Level
Corresponding paper: LABEL-EFFICIENT DEEP LEARNING-BASED SEMANTIC SEGMENTATION OF BUILDING POINT CLOUDS AT LOD3 LEVEL
Auhor(s): Y. Cao and M. Scaioni
Volume: XLIII-B2-2021 / 2021
https://doi.org/10.5194/isprs-archives-XLIII-B2-2021-449-2021