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Remote Sensing for Land & Resources    2019, Vol. 31 Issue (3) : 36-42     DOI: 10.6046/gtzyyg.2019.03.05
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Multi-scale segmentation of satellite imagery by edge-incorporated weighted aggregation
Dechao ZHAI1,2, Yanan FAN3, Yanan ZHOU2()
1. Institute of Geographic Sciences and Natural Resources Research, University of Chinese Academy of Sciences,Beijing 100020, China
2. Department of Geographical Information Science, Hohai University,Nanjing 211100, China
3. Tianjin Institute of Surveying and Mapping, Tianjin 300381, China
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Abstract  

Some existing remote sensing image segmentation methods do not take the edge feature into consideration, therefore, an edge-incorporated multi-scale segmentation algorithm based on weighted aggregation (EIMSSWA) is proposed. Firstly, the edge features of adjacent primitives are generated by counting the gradient strength and gradient direction on the common edges. Secondly, these features are infused into the similarity measurement of the adjacent primitives in segmentation by weighted aggregation, so as to improve the segmentation. Finally, the segmentation of the proposed method is compared with segmentations of eCognition as well as segmentation by weighted aggregation (SWA) a. The results demonstrate that the EIMSSWA method is capable of gaining more accurate and more reasonable segmentation.
Keywords edge feature      multi-scale      image segmentation      weighted aggregation     
:  TP751P237.3  
Corresponding Authors: Yanan ZHOU     E-mail: zhouyn@hhu.edu.cn
Issue Date: 30 August 2019
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Dechao ZHAI
Yanan FAN
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Dechao ZHAI,Yanan FAN,Yanan ZHOU. Multi-scale segmentation of satellite imagery by edge-incorporated weighted aggregation[J]. Remote Sensing for Land & Resources, 2019, 31(3): 36-42.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2019.03.05     OR     https://www.gtzyyg.com/EN/Y2019/V31/I3/36
Fig.1  Method flowchart of EIMSSWA
Fig.2  Analysis of edge between primitives
Fig.3  Satellite image of experiment area
Fig.4  Multi-scale segmentations of three experiments
尺度/层次 区域内部非均匀性 区域间对比度 区域间散度对比度
FNEA SWA EIMSSWA FNEA SWA EIMSSWA FNEA SWA EIMSSWA
地物单元层 14.39 16.21 13.22 0.53 0.53 0.55 273.25 243.86 276.51
建筑物基元层 21.62 22.15 18.73 0.42 0.40 0.44 192.73 173.28 206.74
建筑群基元层 33.49 38.27 31.54 0.35 0.36 0.39 104.69 102.96 146.16
区域格局层 47.54 49.92 48.06 0.27 0.26 0.28 65.79 53.28 72.37
平均值 29.26 31.64 27.89 0.39 0.39 0.42 159.12 143.35 175.45
Tab.1  Evaluation of three experiments results
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