Deep learning for multi-sensor Earth observation /

Deep Learning for Multi-Sensor Earth Observation addresses the need for transformative Deep Learning techniques to navigate the complexity of multi-sensor data fusion. With insights drawn from the frontiers of remote sensing technology and AI advancements, it covers the potential of fusing data of v...

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Bibliographic Details

Corporate Author:	ScienceDirect (Online service)
Other Authors:	Saha, Sudipan (Editor)
Format:	eBook
Language:	English
Published:	Amsterdam, Netherlands ; Cambridge, MA : Elsevier, [2025]
Series:	Earth observation series.
Subjects:	Earth sciences > Remote sensing. Deep learning (Machine learning) Apprentissage profond. Sciences de la terre > Télédétection. Electronic books.
Online Access:	Connect to the full text of this electronic book