用于新能源光伏电站选址的水体分割轮廓后处理算法

doi:10.11896/jsjkx.240700035

Abstract

Abstract: In the process of site selection of new energy photovoltaic power stations,it is an indispensable step to analyze the distribution of water areas using unmanned aerial vehicle(UAV) images.The water body in water image is usually segmented by water body segmentation algorithm.However,the improvement of the model structure or the increase of the single scene training dataset is only suitable for the performance improvement of the corresponding data set scene for the semantic segmentation neural network,and it is difficult to ensure the accuracy of the water boundary segmentation in the open scene.To solve this problem,two contour post-processing algorithms for water segmentation neural networks are proposed.Compared with the most advanced technology,the continuous contour post-processing algorithm can effectively remove the abnormal small contour generated by the water body segmentation algorithm according to the contour features.At the same time,for the case of intermittent water body boundary generated by complex images,the intermittent contour processing algorithm realizes the water body boundary completion through point set rearrangement.Both post-processing algorithms can improve the segmentation accuracy.PIDNet,EGE-UNet,BiSeNetv2 and Fast-SCNN are used as experimental models.The results show that the pixel accuracy(PA) and average intersection ratio(mIoU) of the experimental model after continuous contour processing are improved in the water boundary line detection task,with an average increment of 2.85 % and 2.71 %,respectively.The average F1 index increased by 2.62 % after discontinuous contour processing.

Key words: Site selection of new energy photovoltaic power station, Water boundary segmentation, Continuous contour processing algorithm, Intermittent contour processing algorithm

CLC Number:

TP391.41

WU Xingming, DANG Qi, JIANG Bo, ZHANG Yuechao, ZHOU Jiwei, WANG Xiaolong. Water Segmentation Contour Post-processing Algorithm for New Energy Photovoltaic PowerStation Location[J].Computer Science, 2025, 52(6A): 240700035-10.

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Water Segmentation Contour Post-processing Algorithm for New Energy Photovoltaic PowerStation Location

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