The digital Earth Observation Librarian: a data mining approach for large satellite images archives
Big Earth Data, 2020 Throughout the years, various Earth Observation (EO) satellites have generated huge amounts of data. The extraction of latent information in the data repositories is not a trivial task.
Mihai Datcu +6 more
doaj +1 more source
A Visualization Framework for Unsupervised Analysis of Latent Structures in SAR Image Time Series
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Openly available satellite image time series (SITS) are considered an important resource for spatiotemporal change monitoring. However, obtaining semantically annotated datasets for such tasks is an expensive affair.
Chandrabali Karmakar +3 more
doaj +1 more source
HYPERSPECTRAL DATA CLASSIFICATION USING FACTOR GRAPHS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Accurate classification of hyperspectral data is still a competitive task and new classification methods are developed to achieve desired tasks of hyperspectral data use.
A. Makarau +3 more
doaj +1 more source
A NEW DRAINAGE BASIN DELINEATION FOR THE SOUTHERN PATAGONIAN ICE FIELD BASED ON TERRASAR-X VELOCITIES AND TANDEM-X ELEVATIONS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The drainage basins or catchments for the Patagonian Ice Field are part of glacier inventories like the Randolph Glacier Inventory (RGI) or the Global Land Ice Measurements from Space (GLIMS).
L. Krieger, E. Johnson, D. Floricioiu
doaj +1 more source
ROOF3D: A REAL AND SYNTHETIC DATA COLLECTION FOR INDIVIDUAL BUILDING ROOF PLANE AND BUILDING SECTIONS DETECTION [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Deep learning is a powerful tool to extract both individual building and roof plane polygons. But deep learning requires a large amount of labeled data.
P. Schuegraf +3 more
doaj +1 more source
FULL-PHYSICS INVERSE LEARNING MACHINE FOR SATELLITE REMOTE SENSING OF OZONE PROFILE SHAPES AND TROPOSPHERIC COLUMNS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 Characterizing vertical distributions of ozone from nadir-viewing satellite measurements is known to be challenging, particularly the ozone information in the troposphere. A novel retrieval algorithm called Full-Physics Inverse Learning Machine (FP-ILM),
J. Xu +5 more
doaj +1 more source
ROAD CONDITION ASSESSMENT FROM AERIAL IMAGERY USING DEEP LEARNING [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Terrestrial sensors are commonly used to inspect and document the condition of roads at regular intervals and according to defined rules. For example in Germany, extensive data and information is obtained, which is stored in the Federal Road Information ...
N. Merkle +3 more
doaj +1 more source
Development history and prospect of remote sensing technology in coal geology of China
International Journal of Coal Science & Technology, 2020 Coal remote sensing technology was founded in the period of coal resources survey after the founding of People’s Republic of China. Aerophoto Grammetry & Remote Sensing Bureau of China National Administration of Coal Geology was established, specializing
Kelong Tan, Junwei Qiao
doaj +1 more source
Large-Scale Mapping of Urban Parking from Aerial Images: A Case Study in Berlin, Germany [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesExisting nationwide spatial datasets for Germany’s traffic infrastructure, particularly parking areas, are fragmented and incomplete, hindering effective traffic management and urban planning amidst growing demands for mobility transition and ...
F. Rauch +5 more
doaj +1 more source
GROUND MOVEMENT ANALYSIS IN POST-MINING CITY USING MTINSAR WITH HELP OF EUROPEAN GROUND MOTION SERVICE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 Ground movement is a critical concern for urban safety, and understanding its causes and consequences is essential. Mining of hard coal in the Ruhr area of Germany has caused long-term subsidence, leading to building damage and sinkholes in affected ...
C. H. Yang, C. Stemmler, A. Müterthies
doaj +1 more source