模态框(Modal)标题

在这里添加一些文本

模态框(Modal)标题

  • Journal
  • Article
  • Figure
  • Search
EN中文
  • Home
  • About Journal
    • Overview
    • Indexing
    • Awards
  • Editorial Board
  • Guide for Authors
  • Editorial Policies
  • Subscription
  • Contact Us
EN中文

Figure/Table detail

Integration of Mixed Pooling and Label Information Optimization for Oilfield Land Cover Extraction Model
GAO Chen, CHEN Yunzhi, DONG Yan, LIU Lei, Guo Jun
Journal of Geo-information Science, 2024, 26(3): 753-763.   DOI: 10.12082/dqxxkx.2024.230491

模型 OA MIou Recall Precision F1-Score
ResUnet 96.72 81.74 88.37 91.14 89.71
S_ResUnet 96.18 76.08 88.55 84.80 87.81
M_ResUnet 96.74 81.57 87.85 91.49 89.59
ML_ResUnet 97.19 84.06 89.98 92.39 91.15
SML_ResUnet 97.24 84.23 90.16 92.43 91.26
Tab. 2 Accuracy comparison of different modules on baseline model ResUnet (%)
Other figure/table from this article
  • Fig. 1 SML_ResUnet model architecture
  • Fig. 2 Diagram of Strip Pooling (SP) unit architecture
  • Fig. 3 Diagram of Mixed Pooling Module (MPM) module architecture
  • Fig. 4 Diagram of Label Attention Module(LAM) Architecture
  • Fig. 5 Experimental results of baseline model selection for prediction
  • Tab. 1 Accuracy comparison of baseline model selection experiments (%)
  • Fig. 6 Loss curves for ablation experiments on different modules
  • Fig. 7 Partial predicted results of ablation experiments on different modules
  • Tab. 3 Accuracy comparison of land cover extraction results for different categories (%)
  • Fig. 8 Distribution of high consequence area land cover in an oilfield plant area in Shandong province
  • Tab. 4 Accuracy metrics for different regions (%)
  • Fig. 9 Distribution of high consequence area land cover in an oilfield plant area in Shandong province

Website Copyright © Journal of Geo-information Science, All Rights Reserved.
Tel: 010-64889219,010-64888891 
E-mail: dqxxkx@igsnrr.ac.cn
Powered by Beijing Magtech Co. Ltd