Hierarchical Deep Features Progressive Aggregation for Remote Sensing Images Scene Classification

• Published in: IEEE journal of selected topics in applied earth observations and remote sensing Vol. 17; pp. 9442 - 9450
• Main Authors: Zhao, Yang, Liang, Jiaqi, Huang, Sisi, Huang, Pingping
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Aggregation; Agricultural production; Classification; Complexity; Convolutional neural networks; Cooperative learning; Digital agriculture; Distribution functions; Ecological monitoring; Feature extraction; Graphical models; Image classification; Interference; Modules; Multilevel local (MLL) and multilevel global (MLG) feature modules; progressive aggregation (PA); Redundancy; Remote sensing; remote sensing images scene classification; Representations; Scene classification; Semantics; Spatial discrimination; Spatial resolution

Remote sensing image scene classification is essential, and it can promote the rational planning of land and ecological monitoring in the practical application of agricultural production. High spatial resolution (HSR) remote sensing images are widely used in smart agriculture because of their wide c...