Matches in Nanopublications for { ?s ?p <http://www.wikidata.org/entity/Q199687> ?g. }
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- Bi-temporal%20input%20incorporating%20both%20pre-fire%20and%20post-fire%20Sentinel-2%20imagery%20enhanced%20model%20performance%20across%20diverse%20environmental%20areas%20compared%20to%20traditional%20single-input%20U-Net%20models. about Q199687 assertion.
- Bi-temporal%20input%20incorporating%20both%20pre-fire%20and%20post-fire%20Sentinel-2%20imagery%20enhanced%20model%20performance%20across%20diverse%20environmental%20areas%20compared%20to%20traditional%20single-input%20U-Net%20models. about Q199687 assertion.
- BiAU-Net%20using%20Sentinel-2%20imagery%20at%2020%20m%20spatial%20resolution%20offers%20higher%20accuracy%20than%20global%20wildfire%20products%20Fire_cci51%20and%20MODIS%20MCD64A1%2C%20which%20have%20limitations%20at%20250%20m%20and%20500%20m%20resolution%20and%20often%20overlook%20small%20fires. about Q199687 assertion.
- BiAU-Net%20using%20Sentinel-2%20imagery%20at%2020%20m%20spatial%20resolution%20offers%20higher%20accuracy%20than%20global%20wildfire%20products%20Fire_cci51%20and%20MODIS%20MCD64A1%2C%20which%20have%20limitations%20at%20250%20m%20and%20500%20m%20resolution%20and%20often%20overlook%20small%20fires. about Q199687 assertion.
- The%20BiAU-Net%20model%20was%20trained%20using%20Sentinel-2%20MSI%20Level%202A%20product%20with%20a%20false%20color%20band%20combination%20of%20Band12%20%28SWIR%3A%202114.9-2289.9%20%CE%BCm%29%2C%20Band11%20%28SWIR%3A%201568.2-1659.2%20%CE%BCm%29%2C%20and%20Band8A%20%28Narrow%20NIR%3A%20854.2-875.2%20%CE%BCm%29%20at%2020%20m%20spatial%20resolution. about Q199687 assertion.
- The%20BiAU-Net%20model%20was%20trained%20using%20Sentinel-2%20MSI%20Level%202A%20product%20with%20a%20false%20color%20band%20combination%20of%20Band12%20%28SWIR%3A%202114.9-2289.9%20%CE%BCm%29%2C%20Band11%20%28SWIR%3A%201568.2-1659.2%20%CE%BCm%29%2C%20and%20Band8A%20%28Narrow%20NIR%3A%20854.2-875.2%20%CE%BCm%29%20at%2020%20m%20spatial%20resolution. about Q199687 assertion.
- The%20model%20processes%20pre-fire%20and%20post-fire%20satellite%20images%20through%20two%20symmetrical%20convolutions%20and%20max-pooling%20in%20the%20encoder%20phase%20to%20extract%20features%2C%20with%20four%20rounds%20of%20down-sampling%20producing%20four%20pairs%20of%20pre-%20and%20post-fire%20feature%20maps%20across%20varying%20scales. about Q199687 assertion.
- The%20model%20processes%20pre-fire%20and%20post-fire%20satellite%20images%20through%20two%20symmetrical%20convolutions%20and%20max-pooling%20in%20the%20encoder%20phase%20to%20extract%20features%2C%20with%20four%20rounds%20of%20down-sampling%20producing%20four%20pairs%20of%20pre-%20and%20post-fire%20feature%20maps%20across%20varying%20scales. about Q199687 assertion.
- 10747392 about Q199687 assertion.
- 10747392 about Q199687 assertion.