Results 31 to 40 of about 680,299 (306)
Selection of unlabeled source domains for domain adaptation in remote sensing
—In the context of supervised learning techniques, it can be desirable to utilize existing prior knowledge from a source domain to estimate a target variable in a target domain by exploiting the concept of domain adaptation. This is done to alleviate the
Christian Geiß +4 more
doaj +1 more source
Due to the extremely complex composition of remote sensing scenes, REmote Sensing Image Scene Classification (RESISC) is still a challenging task. To further improve classification accuracy, this article introduces a deep-learning detector into RESISC ...
Xiaoliang Yang +5 more
doaj +1 more source
APOLLO_NG – a probabilistic interpretation of the APOLLO legacy for AVHRR heritage channels [PDF]
The cloud processing scheme APOLLO (AVHRR Processing scheme Over cLouds, Land and Ocean) has been in use for cloud detection and cloud property retrieval since the late 1980s.
L. Klüser, N. Killius, G. Gesell
doaj +1 more source
Airborne Remote Sensing Data [PDF]
The ADS40 System was released by Leica Geosystems Inc., Switzerland, in 2001. ADS40 is capable of efficiently obtaining very high-resolution color, NIR, and panchromatic images. The system ensures simultaneous access to five bands (R, G, B, NIR, and Pan images) acquired at the same angle.
openaire +1 more source
DATA QUALITY IN REMOTE SENSING [PDF]
Abstract. The issue of data quality (DQ) is of growing importance in Remote Sensing (RS), due to the widespread use of digital services (incl. apps) that exploit remote sensing data. In this position paper a body of experts from the ISPRS Intercommission working group III/IVb “DQ” identifies, categorises and reasons about issues that are considered as ...
C. Batini +7 more
openaire +3 more sources
ABSTRACT Background Survivors of childhood acute lymphoblastic leukemia (ALL) often exhibit early deficits in muscle and movement competence, which can compromise long‐term health. Integrative neuromuscular training (INT), a multifaceted approach combining fundamental movement activities with strength exercises, may help address these deficits during ...
Anna Maria Markarian +7 more
wiley +1 more source
Automated flood detection using earth observation data is a crucial task for efficient flood disaster management. Current solutions to identify flooded areas usually rely on calculating the difference between new observations and static, pre-calculated ...
Florian Fichtner +5 more
doaj +1 more source
Tumour–host interactions in Drosophila: mechanisms in the tumour micro‐ and macroenvironment
This review examines how tumour–host crosstalk takes place at multiple levels of biological organisation, from local cell competition and immune crosstalk to organism‐wide metabolic and physiological collapse. Here, we integrate findings from Drosophila melanogaster studies that reveal conserved mechanisms through which tumours hijack host systems to ...
José Teles‐Reis, Tor Erik Rusten
wiley +1 more source
Monitoring of the 2015 Villarrica Volcano Eruption by Means of DLR’s Experimental TET-1 Satellite
Villarrica Volcano is one of the most active volcanoes in the South Andes Volcanic Zone. This article presents the results of a monitoring of the time before and after the 3 March 2015 eruption by analyzing nine satellite images acquired by the ...
Simon Plank +7 more
doaj +1 more source
Spatio-temporal Modelling of Remote-sensing Lake Surface Water Temperature Data [PDF]
Remote-sensing technology is widely used in environmental monitoring. The coverage and resolution of satellite based data provide scientists with great opportunities to study and understand environmental change.
Gong, Mengyi +2 more
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