Computational Intelligence in Remote Sensing : 2nd Edition

Von:

Gong, Maoguo [VerfasserIn]

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Resource type: Ressourcentyp: Buch (Online)Buch (Online)Sprache: Englisch Verlag: CH : MDPI - Multidisciplinary Digital Publishing Institute, 2025Beschreibung: 1 Online-Ressource (1 electronic resource 234 p.)ISBN:

9783725857555
9783725857562

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Online-Ressourcen:

Volltext frei verfügbar

Zusammenfassung: With the rapid advancement of Earth observation technologies, the availability of high-resolution remote sensing (RS) data has expanded across a wide range of domains, including environmental monitoring, land use classification, disaster management, and defense. However, the processing and interpretation of such data are increasingly challenged by large volumes, complex spatial–spectral structures, and limited labeled samples. Computational Intelligence (CI), inspired by natural and biological systems, offers promising strategies to address these complexities through adaptive learning, feature extraction, and decision-making. This reprint explores the latest CI-driven methodologies applied to remote sensing tasks, as reflected in recent advancements such as hybrid retrieval systems, lightweight segmentation networks, few-shot classification models, semantic-enhanced image captioning, and dual-domain transformers for change detection. It highlights contributions from contemporary studies that tackle practical challenges in RS, including pan-sharpening, road extraction, radar imaging, and hyperspectral unmixing. By integrating theory with state-of-the-art applications, the reprint serves as a valuable reference for researchers and professionals working at the intersection of artificial intelligence and Earth observationPPN: PPN: 1983962856Package identifier: Produktsigel: ZDB-94-OAB

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Open Access. Unrestricted online access star

Namensnennung 4.0 International CC BY 4.0 cc:

https://creativecommons.org/licenses/by/4.0/

eng