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This paper aims to explore the integration of deep learning into remote sensing, emphasizing its potential and challenges.

Deep Learning in Remote Sensing: A Comprehensive Review and List of Resources

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This paper aims to explore the integration of deep learning into remote sensing, emphasizing its potential and challenges.
Reviewed recent advancements in deep learning applications for remote sensing data analysis.
Analyzed the challenges within the remote sensing community regarding the adoption of deep learning.
Provided a compilation of resources to aid scientists in utilizing deep learning methodologies.
Deep learning offers significant advancements in processing remote sensing data but poses challenges related to interpretability and application.
Encourages remote sensing experts to apply their knowledge to deep learning for tackling complex issues like climate change.
Recognizes the duality of deep learning as both a breakthrough and a potential black-box solution that can complicate results.

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Comprehensive review analyzes deep learning challenges in remote sensing, encouraging scientists to leverage new tools.

A 2017 study studied this question.

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