Gray level co-occurrence matrix (GLCM) texture based crop classification using low altitude remote sensing platforms

Crop classification in early phenological stages has been a difficult task due to spectrum similarity of different crops. For this purpose, low altitude platforms such as drones have great potential to provide high resolution optical imagery where Machine Learning (ML) applied to classify different...

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Detalles Bibliográficos
Autores principales: Iqbal, Naveed, Mumtaz, Rafia, Shafi, Uferah, Zaidi, Syed Mohammad Hassan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2021
Materias:
Computer Vision
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176538/
https://www.ncbi.nlm.nih.gov/pubmed/34141878
http://dx.doi.org/10.7717/peerj-cs.536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8176538/
https://www.ncbi.nlm.nih.gov/pubmed/34141878
http://dx.doi.org/10.7717/peerj-cs.536

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