Affiliation:
1. School of Geography and Tourism, Anhui Normal University, Wuhu 241003, China
2. School of Computer and Information Engineering, Chuzhou University, Chuzhou 239000, China
3. Anhui National Defense Science and Technology Information Institute, Hefei 230041, China
Abstract
Remote sensing technology has become a popular tool for crop classification, but it faces challenges in accurately identifying crops in areas with fragmented land plots and complex planting structures. To address this issue, we propose an improved method for crop identification in high-resolution remote sensing images, achieved by modifying the DeepLab V3+ semantic segmentation network. In this paper, the typical crop area in the Jianghuai watershed is taken as the experimental area, and Gaofen-2 satellite images with high spatial resolutions are used as the data source. Based on the original DeepLab V3+ model, CI and OSAVI vegetation indices are added to the input layers, and MobileNet V2 is used as the backbone network. Meanwhile, the upper sampling layer of the network is added, and the attention mechanism is added to the ASPP and the upper sampling layers. The accuracy verification of the identification results shows that the MIoU and PA of this model in the test set reach 85.63% and 95.30%, the IoU and F1_Score of wheat are 93.76% and 96.78%, and the IoU and F1_Score of rape are 74.24% and 85.51%, respectively. The identification accuracy of this model is significantly better than that of the original DeepLab V3+ model and other related models. The proposed method in this paper can accurately extract the distribution information of wheat and rape from high-resolution remote sensing images. This provides a new technical approach for the application of high-resolution remote sensing images in identifying wheat and rape.
Funder
Major science and technology projects of high resolution earth observation system
Anhui Province Science and Technology Major Special Project
Anhui Province Key Research and Development Program Project
Anhui Province Special Support Program
Anhui Provincial Outstanding Young Researcher Program for Higher Education Institutions
Anhui University Collaborative Innovation Project
Chuzhou City Science and Technology Pro-gram Project
Natural Science Foundation of Anhui Province
Natural Science Research Project of Universities in Anhui Province
Subject
General Earth and Planetary Sciences
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