2023
DOI: 10.5194/essd-15-113-2023
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MDAS: a new multimodal benchmark dataset for remote sensing

Abstract: Abstract. In Earth observation, multimodal data fusion is an intuitive strategy to break the limitation of individual data. Complementary physical contents of data sources allow comprehensive and precise information retrieval. With current satellite missions, such as ESA Copernicus programme, various data will be accessible at an affordable cost. Future applications will have many options for data sources. Such a privilege can be beneficial only if algorithms are ready to work with various data sources. Howeve… Show more

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Cited by 22 publications
(9 citation statements)
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“…You can find the recommendation results in Figure 21 and Figure 22 . The remote sensing resources depicted in Figure 21 and Figure 22 are sourced from the literature [ 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 ].…”
Section: Methodsmentioning
confidence: 99%
“…You can find the recommendation results in Figure 21 and Figure 22 . The remote sensing resources depicted in Figure 21 and Figure 22 are sourced from the literature [ 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 ].…”
Section: Methodsmentioning
confidence: 99%
“…1) Remote sensing image segmentation datasets have developed rapidly in recent years. In terms of data scale, datasets including iSAID [265], SEN12MS [266], Houston 2018 dataset [267], MDAS [268], and 38-Cloud [269] are already in the same order of magnitude as natural image semantic segmentation datasets (such as COCO, ADE20K). On the richness of data types, current datasets cover multiple data types such as multispectral, SAR, hyperspectral, and LiDAR.…”
Section: Datasets For Ssrsimentioning
confidence: 99%
“…The Augsburg dataset was acquired by using the airborne imaging spectrometer system HySpex, which was operated by the Remote Sensing Technology Institute (IMF) of the German Aerospace Center (DLR) [71]. The image used in this research is a 200×200 subset of the original data.…”
Section: Experiments On the Augsburg Datasetmentioning
confidence: 99%