Top Tweets for #4DObjectsByChange
Looking forward to this event π€© also consider our #VGC2023 short course on "4D change analysis of near-continuous LiDAR time series for applications in geomorphic monitoring" with @rclwel https://t.co/Ip6web2ZYy #py4dgeo #4DObjectsByChange @3DGeoHD @GRS_TUDelft
My #EGU23 poster is up. Find me at X3.21 during our poster session from 14:00 today - or just contact me if you're interested in discussing the topic! Looking forward to a day of inspiring research exchanges π€© #4DObjectsByChange #py4dgeo #CharAct4D @3DGeoHD
Good morning, #EGU23! Done with badge pick-up, hanging posters, etc.? Still time for some coffee and then join our session on historic and modern high-resolution topography at 10:45 with a set of really interesting talks:
https://t.co/1hGnBzhhdL @APhoto36826601 @PiermatteiLivia
In the project we build upon the concept of 4D Objects-By-Change developed by Anders et al. (2021) π
π Paper: https://t.co/jobpXDD4dL
#4DObjectsByChange
π’ We will offer a short course on 4D change analysis at #VGC2023 - a cooperation of @3DGeoHD and @GRS_TUDelft
Will be the first training with our cool open-source Python library #py4dgeo βοΈ https://t.co/i199Nlm3rq
So many reasons to join the event! #ETRAINEE #4DObjectsByChange
Btw. the 4D point clouds are also openly available: https://t.co/CJ7YdVEeda
and have already been used for the extraction of #4DObjectsByChange: https://t.co/0MX3RnMjDG
Stay tuned for upcoming results on our 4D change analysis methods! @BernhardHofle @kappadiversa
You may not attend the O3DM Workshop next week, but take a look at this research asking the important question: How can we interpret all the surface processes we capture with permanent 3D observation?ππ»
https://t.co/sZWwWMXxxw #4DObjectsByChange
How do you make sense of >2,000 surface activities in a scene, automatically extracted from dense #LiDAR time series?
Daan Hulskemper et al. present an unsupervised approach in a new article: https://t.co/i6wkaK5Zza
within our ongoing collaboration with @GRS_TUDelft (ka)
If you want to know more about the method and the project, check out:
#4DObjectsByChange
πhttps://t.co/qUkWFkcGW4
#CoastScan
πhttps://t.co/PxCbF1MkeC
Surface activities are extracted as #4DObjectsByChange with a Self-organizing Map. This enables unsupervised classification of different processes - and there are so many on a sandy beach with hourly point clouds over six months!
πππππ πΎπ€π£ππ§ππ¨π¨ ππ£ ππππ is being opened - finally the day has come! I am very happy to be here and meeting colleagues (old&new) #isprs2022
ππππ© π’π ππͺπ πππ©ππ§π£π€π€π£ ππ© π€πͺπ§ π₯π€π¨π©ππ§ 389 (poster session P_02 / zone B) #4DObjectsByChange
That will be me πI look forward to presenting #4DObjectsByChange and talking to whoever is interested in change analysis, surface dynamics and all related afterwards! #EGU22
π’#3DGeo at #EGU22 today
Don't miss our talk today at 15:10 h, Room G2, session GM 2.7 (or online)π
We show how natural surface changes can be automatically extracted and characterized from near-continuous 3D time series!
https://t.co/VCha8xMsn2
#4DObjectsByChange
π’#3DGeo at #EGU22 today
Don't miss our talk today at 15:10 h, Room G2, session GM 2.7 (or online)π
We show how natural surface changes can be automatically extracted and characterized from near-continuous 3D time series!
https://t.co/VCha8xMsn2
#4DObjectsByChange
Talk 2: Automatic Extraction and Characterization of Natural Surface Changes from Near-Continuous 3D Time Series using 4D Objects-By-Change and Kalman Filtering (Tue, 24 May, 15:10 - 18:30 CEST).
β‘οΈhttps://t.co/VCha8xMsn2
Website: https://t.co/4XqDi3E3kA
#4DObjectsByChange
Talk 2: Automatic Extraction and Characterization of Natural Surface Changes from Near-Continuous 3D Time Series using 4D Objects-By-Change and Kalman Filtering (Tue, 24 May, 15:10 - 18:30 CEST).
β‘οΈhttps://t.co/VCha8xMsn2
Website: https://t.co/4XqDi3E3kA
#4DObjectsByChange
Big congratulations to Sander Vos and colleagues for this success in near-continuous laser scanning of beach-dune systems! #CoastScan
ποΈhttps://t.co/9HJm04kdxQ
I am looking forward to our continued joint work on this - many #4DObjectsByChange to come! @3DGeoHD @GRS_TUDelft
What to do with around 5 billion points of hourly terrestrial laser scan data? Surface activity can be automatically identified using #4DObjectsByChange
β© https://t.co/qUkWFkuikE (ka)
Talk 2: Automatic Extraction and Characterization of Natural Surface Changes from Near-Continuous 3D Time Series using 4D Objects-By-Change and Kalman Filtering (Tue, 24 May, 15:10 - 18:30 CEST).
β‘οΈhttps://t.co/VCha8xMsn2
Website: https://t.co/qUkWFkuikE
#4DObjectsByChange
Last #paper of my #PhDone is now fully published π€© well... last official. There is more to come on 4D change analysis for geographic monitoring of landscape dynamics ππππ #4DObjectsByChange https://t.co/4CNrQkrCRR
π°New paper: Using #4DObjectsByChange improves change analysis from near-continuous 3D time series by considering full temporal information, shown for snow cover monitoring with hourly point clouds: https://t.co/0MX3RnMjDG #3DGeo @kappadiversa @geogemgis @BernhardHofle (ka)
π°New paper: Using #4DObjectsByChange improves change analysis from near-continuous 3D time series by considering full temporal information, shown for snow cover monitoring with hourly point clouds: https://t.co/0MX3RnMjDG #3DGeo @kappadiversa @geogemgis @BernhardHofle (ka)
Now excited to use the new data to develop our #methods on #3D/#4D #changeanalysis further π
https://t.co/hdWtETCFMU
#MultiDirChange #M3C2EP #4DObjectsByChange #3DGeo
An unusual #view on the #AHK4D rock glacier in the @oetztalcom alps, taken with one of our #drones /#uav. #4DObjectsByChange #M3C2EP #MultiDirChange #ContinuousRemoteSensing #3DGeo @UniHeidelberg @RIEGL @obergurglcom
See our research at https://t.co/VUH9VPGQ5w (lw)
Find all details on the topic in our #openaccess paper: https://t.co/1d0wSQmHnu #4DObjectsByChange @GIScienceHD @BernhardHofle @GRS_TUDelft @geogemgis @HubertMara
Word is that the recorded video of the presentation will also be openly available soon!
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