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portada Deep Learning Methods for Remote Sensing
Type
Physical Book
Publisher
Language
English
Pages
344
Format
Hardcover
Dimensions
24.4x17x2.7 cm
Weight
0.94 kg.
ISBN13
9783036546292

Deep Learning Methods for Remote Sensing

Akhloufi, Moulay A. ; Shahbazi, Mozhdeh (Author) · Mdpi AG · Hardcover

Deep Learning Methods for Remote Sensing - Akhloufi, Moulay A. ; Shahbazi, Mozhdeh

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Synopsis "Deep Learning Methods for Remote Sensing"

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.

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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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