Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks

Unprecedented access to multi-temporal satellite imagery has opened new perspectives for a variety of Earth observation tasks. Among them, pixel-precise panoptic segmentation of agricultural parcels has major economic and environmental implications. While researchers have explored this problem for s...

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Vydané v:	Proceedings / IEEE International Conference on Computer Vision s. 4852 - 4861
Hlavní autori:	Fare Garnot, Vivien Sainte, Landrieu, Loic
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.10.2021
Predmet:	Computer vision Economics Feature extraction grouping and shape Image segmentation Satellites Segmentation Semantics Time series analysis Vision + other modalities Vision applications and systems
ISSN:	2380-7504
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