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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3116601
Abstract: Over the past decades, the successful invention and employment of multiple sensors have marked the advent of a new era in multisensor remote-sensing (RS) images acquisition. To effectively utilize the massive multisensor images for RS…
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Keywords:
remote sensing;
cross sensor;
transfer learning;
heterogeneous networks ... See more keywords
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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3130285
Abstract: Cross-sensor remote-sensing data have a significant impact on degrading the performance of traditional land cover classification (LCC) models. This occurs due to different probability distributions of the collected data from different satellites (having diverse image…
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Keywords:
land cover;
cross sensor;
sensor;
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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3170338
Abstract: The collaborative use of Landsat and Sentinel-2 could substantially improve the temporal observation frequency at the medium spatial resolution, which was very important for the studies demanding dense temporal observations. The purpose of this study…
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Keywords:
global cross;
transformation functions;
landsat sentinel;
cross sensor ... See more keywords
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Published in 2023 at "Sensors"
DOI: 10.3390/s23115150
Abstract: Multitemporal cross-sensor imagery is fundamental for the monitoring of the Earth’s surface over time. However, these data often lack visual consistency because of variations in the atmospheric and surface conditions, making it challenging to compare…
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Keywords:
normalization;
multitemporal cross;
relaxation based;
cross sensor ... See more keywords