Combining spatiotemporal fusion and object-based image analysis for improving wetland mapping in complex and heterogeneous urban landscapes
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2018.1474275
Abstract: Abstract Remote sensing has been proven promising in wetland mapping. However, conventional methods in a complex and heterogeneous urban landscape usually use mono temporal Landsat TM/ETM + images, which have great uncertainty due to the… read more here.
Keywords: heterogeneous urban; object based; complex heterogeneous; wetland mapping ... See more keywords
An object-based spatiotemporal fusion model for remote sensing images
Sign Up to like & getrecommendations! Published in 2021 at "European Journal of Remote Sensing"
DOI: 10.1080/22797254.2021.1879683
Abstract: Spatiotemporal fusion technique can combine the advantages of temporal resolution and spatial resolution of different images to achieve continuous monitoring for the Earth’s surface, which is a fea... read more here.
Keywords: fusion model; object based; based spatiotemporal; remote sensing ... See more keywords
Spatiotemporal Fusion With Only Two Remote Sensing Images as Input
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DOI: 10.1109/jstars.2020.3028116
Abstract: Spatiotemporal data fusion is an effective way of generating a dense time series with a high spatial resolution. Traditionally, the spatiotemporal fusion models, especially the popular ones such as the spatial and temporal adaptive reflectance… read more here.
Keywords: resolution; remote sensing; fusion; images input ... See more keywords
Digital Soil Mapping Based on Fine Temporal Resolution Landsat Data Produced by Spatiotemporal Fusion
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3267102
Abstract: Multitemporal Landsat-8 satellite images with fine spatial resolution (i.e., 30 m) are crucial for modern digital soil mapping (DSM). Generally, cloud-free images covering bare topsoil are common choices for DSM. However, the number of effective… read more here.
Keywords: dsm; resolution; spatiotemporal fusion; landsat data ... See more keywords
Remote Sensing Image Spatiotemporal Fusion Using a Generative Adversarial Network
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2020.3010530
Abstract: Due to technological limitations and budget constraints, spatiotemporal fusion is considered a promising way to deal with the tradeoff between the temporal and spatial resolutions of remote sensing images. Furthermore, the generative adversarial network (GAN)… read more here.
Keywords: adversarial network; remote sensing; generative adversarial; fusion ... See more keywords
SwinSTFM: Remote Sensing Spatiotemporal Fusion Using Swin Transformer
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3182809
Abstract: Remote sensing images with high temporal and spatial resolutions have broad market demands and various application scenarios. This article aims to generate high-quality remote sensing image time series for feature mining of the growth quality… read more here.
Keywords: fusion; remote sensing; spatiotemporal fusion; deep learning ... See more keywords
A Flexible Object-Level Processing Strategy to Enhance the Weight Function-Based Spatiotemporal Fusion Method
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2022.3212474
Abstract: Spatiotemporal fusion technique provides a cost-efficient way to achieve dense time series observation. Among all categories of spatiotemporal fusion methods, the weight function-based method attracted considerable attention. However, this kind of method selects similar pixels… read more here.
Keywords: fusion; weight function; spatiotemporal fusion; method ... See more keywords
STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3268187
Abstract: Radar echo extrapolation based on deep learning is an important method for conducting precipitation nowcasting. Radar echo sequence data have spatiotemporal correlations and nonrigid movements of the radar echo. According to the characteristics of radar… read more here.
Keywords: network; stunner; spatiotemporal fusion; radar ... See more keywords