Session: Geospatial Machine Learning
Banner

XXIV ISPRS Congress


Virtual Event of the 2020 Presentations


Nice, France, 31.08.2020 - 02.09.2020
Organizer: Société Française de Photogrammétrie et de Télédétection / Nicolas Paparoditis
Type of Event: Congress
Multi Media Type: Remote



Session: TU.1.4

Geospatial Machine Learning

Video of the whole session


Single Presentations

VideoImage
Ana-Maria LOGHIN

Supervised classification and its repeatability for point clouds from dense very high resolution tri-stereo satellite image matching using machine lea
Corresponding paper: SUPERVISED CLASSIFICATION AND ITS REPEATABILITY FOR POINT CLOUDS FROM DENSE VHR TRI-STEREO SATELLITE IMAGE MATCHING USING MACHINE LEARNING
Auhor(s): A-M. Loghin, N. Pfeifer, and J. Otepka-Schremmer
Volume: Annals V-2-2020 / 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-525-2020 
 

VideoImage
Muhammad KAMRAN

Boundary regularized building footprint extraction from satellite images using deep neural networks
Corresponding paper: BOUNDARY REGULARIZED BUILDING FOOTPRINT EXTRACTION FROM SATELLITE IMAGES USING DEEP NEURAL NETWORKS
Auhor(s): K. Zhao, M. Kamran, and G. Sohn
Volume: Annals V-2-2020 / 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-617-2020 
 

VideoImage
Manu TOM

Lake ice monitoring with webcams and crowd-sourced images
Corresponding paper: LAKE ICE MONITORING WITH WEBCAMS AND CROWD-SOURCED IMAGES
Auhor(s): R. Prabha, M. Tom, M. Rothermel, E. Baltsavias, L. Leal-Taixe, and K. Schindler
Volume: Annals V-2-2020 / 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-549-2020 
 

VideoImage
Qingyu LI

Detection of undocumented buildings using convolutional neural network and official geodata
Corresponding paper: DETECTION OF UNDOCUMENTED BUILDINGS USING CONVOLUTIONAL NEURAL NETWORK AND OFFICIAL GEODATA
Auhor(s): Q. Li, Y. Shi, S. Auer, R. Roschlaub, K. Möst, M. Schmitt, and X. X. Zhu
Volume: Annals V-2-2020 / 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-517-2020 
 

VideoImage
Ribana ROSCHER

What Identifies a Whale by its Fluke? On the Benefit of Interpretable Machine Learning for Whale Identification
Corresponding paper: WHAT IDENTIFIES A WHALE BY ITS FLUKE? ON THE BENEFIT OF INTERPRETABLE MACHINE LEARNING FOR WHALE IDENTIFICATION
Auhor(s): J. Kierdorf, J. Garcke, J. Behley, T. Cheeseman, and R. Roscher
Volume: Annals V-2-2020 / 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-1005-2020 
 

VideoImage
Sylvain LOBRY

Better generic objects counting when asking questions to images: a multitask approach for remote sensing visual question answering
Corresponding paper: BETTER GENERIC OBJECTS COUNTING WHEN ASKING QUESTIONS TO IMAGES: A MULTITASK APPROACH FOR REMOTE SENSING VISUAL QUESTION ANSWERING
Auhor(s): S. Lobry, D. Marcos, B. Kellenberger, and D. Tuia
Volume: Annals V-2-2020 / 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-1021-2020 
 

VideoImage
Sofia Matilda TILON

Infrastructure degradation and post-disaster damage detection using anomaly detecting generative adversarial networks
Corresponding paper: INFRASTRUCTURE DEGRADATION AND POST-DISASTER DAMAGE DETECTION USING ANOMALY DETECTING GENERATIVE ADVERSARIAL NETWORKS
Auhor(s): S. M. Tilon, F. Nex, D. Duarte, N. Kerle, and G. Vosselman
Volume: Annals V-2-2020 / 2020
https://doi.org/10.5194/isprs-annals-V-2-2020-573-2020 
 

 


 

Logo

The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.

Our Contact

ISPRS
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org