{"product_id":"9783031681059","title":"Unsupervised and Semi-Supervised Learning","description":"\u003ch1\u003eUnsupervised and Semi-Supervised Learning\u003c\/h1\u003e \u003ch2\u003eKawulok, Michal; Kawulok, Jolanta; Smolka, Bogdan; Celebi, M. Emre\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis book provides a comprehensive perspective over the landscape of super-resolution techniques developed for and applied to remotely-sensed images. The chapters tackle the most important problems that professionals face when dealing with super-resolution in the context of remote sensing. These are: evaluation procedures to assess the super-resolution quality; benchmark datasets (simulated and real-life); super-resolution for specific data modalities (e.g., panchromatic, multispectral, and hyperspectral images); single-image super-resolution, including generative adversarial networks; multi-image fusion (temporal and\/or spectral); real-world super-resolution; and task-driven super-resolution. The book presents the results of several recent surveys on super-resolution specifically for the remote sensing community.\u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Springer\u003c\/p\u003e \u003cp\u003ePublication Date: 2024-10-15\u003c\/p\u003e \u003cp\u003eFormat: Hardcover\u003c\/p\u003e \u003cp\u003eISBN-13: 9783031681059\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/978-3-031-68106-6\u003c\/p\u003e \u003cp\u003eDimensions: 235cm x155cm\u003c\/p\u003e \u003cp\u003ePages: 384\u003c\/p\u003e ","brand":"Springer Nature Switzerland","offers":[{"title":"Default Title","offer_id":44808083734668,"sku":"9783031681059","price":116.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9783031681059.jpg?v=1774039209","url":"https:\/\/lateknightbooks.com\/products\/9783031681059","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}