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Anotace knihy

This 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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Super-Resolution for Remote Sensing
• Autor: Michal Kawulok, Jolanta Kawulok, Bogdan Smolka, M. Emre Celebi
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 374
• EAN: 9783031681059
• ID: 46549852
• Nakladatelství: Springer, Berlin
• Hmotnost: 707 g
• Rozměry: 235 × 155 mm
• Rok vydání: 2024

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