Deforestation rate estimation using crossbreed multilayer convolutional neural networks

Deforestation is an important environmental issue that involves the removal of forests on a large scale, resulting in ecological imbalance and biodiversity loss. Synthetic Aperture Radar (SAR) images are widely used as a valuable tool to detect deforestation effectively. The SAR technology allows ca...

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Veröffentlicht in:	Multimedia tools and applications Jg. 83; H. 33; S. 79453 - 79479
Hauptverfasser:	Subhahan, D. Abdus, Kumar, C. N. S. Vinoth
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2024 Springer Nature B.V
Schlagworte:	Artificial neural networks Computer Communication Networks Computer Science Data Structures and Information Theory Deep learning Deforestation Freight cars Image resolution Machine learning Mapping Multilayers Multimedia Information Systems Neural networks Pattern recognition Radar imaging Remote monitoring Special Purpose and Application-Based Systems Synthetic aperture radar Weather Deforestation Crossbreed multilayer CNN Box car mean squared sparse coding filter Synthetic aperture radar
ISSN:	1573-7721, 1380-7501, 1573-7721
Online-Zugang:	Volltext
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