Matches in SemOpenAlex for { <https://semopenalex.org/work/W4315589021> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W4315589021 abstract "In this paper, we introduce Planet-CR, a benchmark dataset for high-resolution cloud removal with multi-modal and multi-resolution data fusion. Planet-CR is the first public dataset for cloud removal to feature globally sampled high resolution optical observations, in combination with paired radar measurements as well as pixel-level land cover annotations. It provides solid basis for exhaustive evaluation in terms of generating visually pleasing textures and semantically meaningful structures. With this dataset, we consider the problem of cloud removal in high resolution optical remote sensing imagery by integrating multi-modal and multi-resolution information. Existing multi-modal data fusion based methods, which assume the image pairs are aligned pixel-to-pixel, are hence not appropriate for this problem. To this end, we design a new baseline named Align-CR to perform the low-resolution SAR image guided high-resolution optical image cloud removal. It implicitly aligns the multi-modal and multi-resolution data during the reconstruction process to promote the cloud removal performance. The experimental results demonstrate that the proposed Align-CR method gives the best performance in both visual recovery quality and semantic recovery quality. The project is available at https://github.com/zhu-xlab/Planet-CR, and hope this will inspire future research." @default.
- W4315589021 created "2023-01-11" @default.
- W4315589021 creator A5060929395 @default.
- W4315589021 creator A5061007704 @default.
- W4315589021 creator A5068384981 @default.
- W4315589021 creator A5076909902 @default.
- W4315589021 creator A5090454827 @default.
- W4315589021 date "2023-01-09" @default.
- W4315589021 modified "2023-09-25" @default.
- W4315589021 title "High-Resolution Cloud Removal with Multi-Modal and Multi-Resolution Data Fusion: A New Baseline and Benchmark" @default.
- W4315589021 doi "https://doi.org/10.48550/arxiv.2301.03432" @default.
- W4315589021 hasPublicationYear "2023" @default.
- W4315589021 type Work @default.
- W4315589021 citedByCount "0" @default.
- W4315589021 crossrefType "posted-content" @default.
- W4315589021 hasAuthorship W4315589021A5060929395 @default.
- W4315589021 hasAuthorship W4315589021A5061007704 @default.
- W4315589021 hasAuthorship W4315589021A5068384981 @default.
- W4315589021 hasAuthorship W4315589021A5076909902 @default.
- W4315589021 hasAuthorship W4315589021A5090454827 @default.
- W4315589021 hasBestOaLocation W43155890211 @default.
- W4315589021 hasConcept C111368507 @default.
- W4315589021 hasConcept C111919701 @default.
- W4315589021 hasConcept C115961682 @default.
- W4315589021 hasConcept C124101348 @default.
- W4315589021 hasConcept C12725497 @default.
- W4315589021 hasConcept C127313418 @default.
- W4315589021 hasConcept C13280743 @default.
- W4315589021 hasConcept C138885662 @default.
- W4315589021 hasConcept C154945302 @default.
- W4315589021 hasConcept C160633673 @default.
- W4315589021 hasConcept C185592680 @default.
- W4315589021 hasConcept C185798385 @default.
- W4315589021 hasConcept C188027245 @default.
- W4315589021 hasConcept C205372480 @default.
- W4315589021 hasConcept C206887242 @default.
- W4315589021 hasConcept C2776401178 @default.
- W4315589021 hasConcept C31972630 @default.
- W4315589021 hasConcept C41008148 @default.
- W4315589021 hasConcept C41895202 @default.
- W4315589021 hasConcept C62649853 @default.
- W4315589021 hasConcept C69744172 @default.
- W4315589021 hasConcept C71139939 @default.
- W4315589021 hasConcept C79974875 @default.
- W4315589021 hasConceptScore W4315589021C111368507 @default.
- W4315589021 hasConceptScore W4315589021C111919701 @default.
- W4315589021 hasConceptScore W4315589021C115961682 @default.
- W4315589021 hasConceptScore W4315589021C124101348 @default.
- W4315589021 hasConceptScore W4315589021C12725497 @default.
- W4315589021 hasConceptScore W4315589021C127313418 @default.
- W4315589021 hasConceptScore W4315589021C13280743 @default.
- W4315589021 hasConceptScore W4315589021C138885662 @default.
- W4315589021 hasConceptScore W4315589021C154945302 @default.
- W4315589021 hasConceptScore W4315589021C160633673 @default.
- W4315589021 hasConceptScore W4315589021C185592680 @default.
- W4315589021 hasConceptScore W4315589021C185798385 @default.
- W4315589021 hasConceptScore W4315589021C188027245 @default.
- W4315589021 hasConceptScore W4315589021C205372480 @default.
- W4315589021 hasConceptScore W4315589021C206887242 @default.
- W4315589021 hasConceptScore W4315589021C2776401178 @default.
- W4315589021 hasConceptScore W4315589021C31972630 @default.
- W4315589021 hasConceptScore W4315589021C41008148 @default.
- W4315589021 hasConceptScore W4315589021C41895202 @default.
- W4315589021 hasConceptScore W4315589021C62649853 @default.
- W4315589021 hasConceptScore W4315589021C69744172 @default.
- W4315589021 hasConceptScore W4315589021C71139939 @default.
- W4315589021 hasConceptScore W4315589021C79974875 @default.
- W4315589021 hasLocation W43155890211 @default.
- W4315589021 hasOpenAccess W4315589021 @default.
- W4315589021 hasPrimaryLocation W43155890211 @default.
- W4315589021 hasRelatedWork W1604511055 @default.
- W4315589021 hasRelatedWork W2080860377 @default.
- W4315589021 hasRelatedWork W2090093270 @default.
- W4315589021 hasRelatedWork W2147047527 @default.
- W4315589021 hasRelatedWork W2164918837 @default.
- W4315589021 hasRelatedWork W2359631359 @default.
- W4315589021 hasRelatedWork W2767265881 @default.
- W4315589021 hasRelatedWork W3006630499 @default.
- W4315589021 hasRelatedWork W4213228110 @default.
- W4315589021 hasRelatedWork W2318670660 @default.
- W4315589021 isParatext "false" @default.
- W4315589021 isRetracted "false" @default.
- W4315589021 workType "article" @default.