A New AM-LBCNN Model for Tree Species Texture Extraction Using Airborne Images
Author:
Affiliation:
1. School of Geographic Information and Tourism, Chuzhou University, Chuzhou, China
2. School of Resources and Environmental Engineering, Anhui University, Hefei, China
Funder
General Items of Support Plan for Outstanding Young Talents in Colleges and Universities
Key Projects of Natural Science Projects in the Colleges and Universities in Anhui Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/8859/10365397/10559802.pdf?arnumber=10559802
Reference38 articles.
1. Classification of flower species by using features extracted from the intersection of feature selection methods in convolutional neural network models
2. Improved prototypical network for active few-shot learning
3. Three-dimensional convolutional neural network model for tree species classification using airborne hyperspectral images
4. Impact of dataset size and variety on the effectiveness of deep learning and transfer learning for plant disease classification
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