Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (11A): 231200064-8.doi: 10.11896/jsjkx.231200064

• Image Processing & Multimedia Technology • Previous Articles     Next Articles

Impervious Surface Change Detection in Urban Fringe Areas Based on Multi-scale and Dual-attention Network

MU Zhengyang1,2, DAI Jianguo1,2, ZHANG Guoshun1,2, HOU Wenqing3, CHEN Peipei1,2, CAO Yujuan1,2, XU Miaomiao1,2   

  1. 1 College of Information Science & Technology,Shihezi University,Shihezi,Xinjiang 832000,China
    2 Geospatial Information Engineering Research Center,Xinjiang Production and Construction Corps,Shihezi,Xinjiang 832000,China
    3 School of Information Network Security,Xinjiang University of Political and Law,Tumxuk,Xinjiang 843900,China
  • Online:2024-11-16 Published:2024-11-13
  • About author:MU Zhengyang,born in 1999,postgra-duate.His main research interests include remote sensing applications and image processing
    DAI Jianguo,born in 1975,Ph.D,profe-ssor.His main research interests include agricultural engineering and biomedical engineering.
  • Supported by:
    National Natural Science Foundation of China(32260388).

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Abstract: As an important feature of urbanization,impervious surface can intuitively reflect the scope of urbanization,and the use of remote sensing imagery and computer vision to detect the change of impervious surface in urban fringe areas between different time series is an effective means of observing the expansion of the city,which is of great significance to the urban construction planning and sustainable development of the city.Nevertheless,the peri-urban regions situated between urban and natural environments,are characterized by intricate and haphazard characteristics,exhibiting a high degree of heterogeneity.Consequently,this presents a formidable challenge when undertaking the task of detecting changes.To solve these problems,this paper adopts a SE compression excitement structure and multi-scale fusion module(MSFM)to improve and optimize the Deeplabv3+ network,and constructs a high-precision impervious surface change extraction model,MSDANet,to realize the automatic extraction of impervious surface change.Meanwhile,based on the Google Earth satellite imagery platform,high-resolution images of Urumqi's metropolitan outskirts in 2017 and 2021 are procured,and a well-annotated high-resolution impervious surface alteration detection(HISCD)dataset is established and made publicly available.By comparing with leading change detection networks,MSDANet achieves the best outcomes with good change extraction capability,and is able to accurately extract multiple impervious surface change types.The metrics of OA,Precision,Recall,F1 and MIoU in the HISCD test set reaches 90.77%,80.51%,78.83%,79.63% and 68.80%,respectively.This investigation provides a novel approach for evaluation urban spread analysis and effective technical support for urban spatial planning.

Key words: Urban fringe areas, Urban expansion, Impervious surface, Change detection, High-resolution, Change detection dataset

CLC Number: 

  • P231
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