HPAC: a forest tree species recognition network based on multi- scale spatial enhancement in remote sensing images

• Published in: International journal of remote sensing Vol. 44; no. 19; pp. 5960 - 5975
• Main Authors: Hou, Jingjin, Zhou, Houkui, Yu, Huimin, Hu, Haoji
• Format: Journal Article
• Language: English
• Published: London Taylor & Francis 02.10.2023; Taylor & Francis Ltd
• Subjects: Accuracy; attention mechanism; Classification; Convolution; data collection; Deep learning; Feature extraction; Feature recognition; forest trees; Forests; image analysis; Image enhancement; learning; Machine learning; Modules; multi-scale; phylogeny; Plant species; position enhancement; Remote sensing; Species classification; Taxonomy; tree species identification; Trees

Forest tree species recognition is a pivotal subject in the field of remote sensing. To address this, deep learning has been extensively applied. Thus far, most classification methods have generally relied on learning certain global features, yet often overlook the characteristics of specific region...