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Více informací o knize Deep Learning Methods for Remote Sensing

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Anotace knihy

Remote sensing is a field where important physical characteristics of an area are exacted using emitted radiation generally captured by satellite cameras, sensors onboard aerial vehicles, etc. Captured data help researchers develop solutions to sense and detect various characteristics such as forest fires, flooding, changes in urban areas, crop diseases, soil moisture, etc. The recent impressive progress in artificial intelligence (AI) and deep learning has sparked innovations in technologies, algorithms, and approaches and led to results that were unachievable until recently in multiple areas, among them remote sensing. This book consists of sixteen peer-reviewed papers covering new advances in the use of AI for remote sensing.

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Maschinenbau, Fertigungstechnik

• Plný název: Deep Learning Methods for Remote Sensing
• Autor: Moulay A. Akhloufi, Mozhdeh Shahbazi
• Jazyk: Angličtina
• Vazba: Pevná
• Počet stran: 344
• EAN: 9783036546292
• ISBN: 3036546294
• ID: 42310268
• Nakladatelství: MDPI AG
• Hmotnost: 1061 g
• Rozměry: 250 × 175 × 27 mm
• Datum vydání: 27. October 2022

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