A Multi-Scale Convolution and Multi-Layer Fusion Network for Remote Sensing Forest Tree Species Recognition

• Published in: Remote sensing (Basel, Switzerland) Vol. 15; no. 19; p. 4732
• Main Authors: Hou, Jinjing, Zhou, Houkui, Hu, Junguo, Yu, Huimin, Hu, Haoji
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.10.2023
• Subjects: Accuracy; Algorithms; Artificial intelligence; attention mechanism; Classification; Comparative analysis; Convolution; data collection; Deep learning; Discriminant analysis; Feature extraction; feature fusion; forest tree species; forest trees; Forestry research; Forests; Identification and classification; Modules; Morphology; multi scale features; Multilayers; Neural networks; Plant species; Remote sensing; Research methods; Satellites; Species classification; species identification; Trees; China

Forest tree species identification in the field of remote sensing has become an important research topic. Currently, few research methods combine global and local features, making it challenging to accurately handle the similarity between different categories. Moreover, using a single deep layer for...