Remote Sensing Technology and Application

Different Spatial Resolutions based on Object-oriented CNN and RF Research on Agricultural Greenhouse Extraction from Remote Sensing Images

Xinyi LIN, Xiaoqin WANG, Zixia TANG, Mengmeng LI, Ruijiao WU, Dehua HUANG

Remote Sensing Technology and Application, 2024, 39(2): 315-327. DOI: 10.11873/j.issn.1004-0323.2024.2.0315

Fig. 7 Detailed diagram of classification effect of different methods

Other figure/table from this article

Fig.1 Distribution of key research areas and sample points in Fu'an City
Table 1 Remote sensing image acquisition in the study area
Fig.2 Example of local true color band combinations of canopies with different spatial resolution images
Fig.3 Basic structure of the residual unit
Fig.4 Object-oriented CNN method（OCNN_FT） flowchart
Table 2 Feature variables for agricultural greenhouse extraction
Fig.5 Fine-tuning results of CNN models on different resolution images
Fig.6 Greenhouse distribution based on RF method and OCNN_FT method
Fig.8 PA， UA， OA and F-score of agricultural greenhouses under different resolution images
Table 3 McNemar test results based on RF method and OCNN_FT method（significance α=0.05）