The extraction of plateau lakes from SAR images based on Faster R-CNN and MorphACWE model

doi:10.6046/gtzyyg.2020067

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Abstract

Lakes in the Tibetan Plateau constitute one of the most important natural factors in the plateau ecological environment. So, it is an urgent task to investigate and monitor lakes in the Tibetan Plateau. Because of the unique backscatter characteristics of water body in the image, the extraction and analysis of the lake based on SAR image has become a research hotspot. In order to further eliminate the interference of surface features and improve the classification accuracy, this paper proposes a high-precision lake extraction FR-MorphACWE (Faster Region-based Convolution Neural Network-MorphACWE) model of SAR image. The Interferometric Wide Swath (IW SLC) of the European Space Agency's sentinel-1A interference wide-band mode is used as the main data source, and the sentinel-2a multispectral image level-1c product is used as the reference data source. This model combines the morphological analysis advantages of Faster R-CNN target detection algorithm and the contour extraction advantages of MorphACWE model. The classification experiments were carried out from extraction of comprehensive interference multi-lake. The target detection algorithm was applied to eliminate non - lake surface disturbance. On such a basis, the active contour model was used to extract the lake boundary, and the morphological characteristics and radar reflection characteristics of plateau lakes were fully utilized to achieve high-precision extraction of plateau lakes from the south of Naqu City to the north of Xigaze City in Tibet. The experimental results show that the accuracy of the algorithm can reach 99.71% and the accuracy and recall rate are higher than 98% in the situation of multi-lake interference.

Keywords Target detection Faster R-CNN CV model SAR plateau lake extraction

ZTFLH:

TP79

Corresponding Authors: ZHANG Zhi E-mail: 741204260@qq.com;171560655@qq.com

Issue Date: 18 March 2021

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	Tiancheng DONG
	Xiao YANG
	Hui LI
	Zhi ZHANG
	Rui QI

Cite this article:

Tiancheng DONG,Xiao YANG,Hui LI, et al. The extraction of plateau lakes from SAR images based on Faster R-CNN and MorphACWE model[J]. Remote Sensing for Land & Resources, 2021, 33(1): 129-137.

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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2020067 OR https://www.gtzyyg.com/EN/Y2021/V33/I1/129

Fig.1 Research area overview

Tab.1 Data in the study area

Fig.2 Structure of Faster R-CNN

Fig.3 Structure of Improved VGG16

Fig.4 Structure of FR-MorphACWE

Fig.5 Experimental procedures

Tab.2 FR-MorphACWE super parameter settings

Fig.6 Loss rate line chart

Fig.7 Multi-lake SAR image intensity value comparison

Tab.3 Comparison of extraction results of different classification methods

Tab.4 Accuracy comparison of different classification methods

Fig.8 Difference between the results of each classification method and the true value

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