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Deep learning (DL) algorithms have seen a massive rise in popularity for remote-sensing image analysis over the past few years.

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Applications of AI, particularly machine learning algorithms, range from initial image processing to high-level data.

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Please visit the Instructions for Authors page before submitting a manuscript.

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Also Watch: What is Spatial Resolution in Remote Sensing?.

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In this regard, a recent study ( Kang et al.

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satellite remote sensing.

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Topics may include, but are not limited to, the following:.

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The generalized flow model for mangrove mapping and monitoring is shown in.


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Topics covered in this Special Issue: Advanced AI architectures for remote sensing information extraction; Conversion of classical RS models using AI; Transfer learning and cross-sensor learning; Model and data fusion; Service robotics systems (UAV, AGV) for safe and remote measuring, inspection, and monitoring; Advanced AI-based image feature.

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11% of the reviewed publications investigated multi-class object detection from which 66% used the older NWPU VHR-10 dataset with 10 object classes and 26% the more recent and challenging DOTA.

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Remote Sensing is an international peer-reviewed open access semimonthly journal published by MDPI.
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