融合高程信息的低空遥感影像SLIC分割和区域合并方法

doi:10.13474/j.cnki.11-2246.2023.0101

测绘通报 ›› 2023, Vol. 0 ›› Issue (4): 35-40.doi: 10.13474/j.cnki.11-2246.2023.0101

融合高程信息的低空遥感影像SLIC分割和区域合并方法

赵宗泽¹, 方明源¹, 高钊², 王双亭¹

1. 河南理工大学测绘与国土信息工程学院, 河南焦作 454000;
2. 自然资源部第一大地测量队, 陕西西安 710054

收稿日期:2022-11-14 修回日期:2023-02-21 发布日期:2023-04-25
通讯作者: 方明源。E-mail:fmy_9608@163.com
作者简介:赵宗泽(1988—),男,博士,讲师,主要研究方向为遥感数据处理分析。E-mail:zhaozongze@hpu.edu.cn
基金资助:
河南省自然科学基金(212300410150);河南省博士后科研项目(1901018);河南理工大学博士基金(B2018-24)

Study on SLIC segmentation and region merging method of low-altitude remote sensing images with fused elevation information

ZHAO Zongze¹, FANG Mingyuan¹, GAO Zhao², WANG Shuangting¹

1. School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China;
2. First Geodetic Survey Team, Ministry of Natural Resources, Xi'an 710054, China

Received:2022-11-14 Revised:2023-02-21 Published:2023-04-25

摘要/Abstract

摘要： 针对SLIC分割算法在进行遥感影像分割时未考虑高程信息,导致某些地物分割效果欠佳的问题,本文提出了融合高程信息的遥感影像SLIC超像素分割与基于高程分级的双阈值区域合并方法。首先,在初始聚类分割阈值中引入高程信息,以获得对光谱梯度和高程梯度都具有一定依赖性的初始分割结果;然后,在预分割的基础上采用邻域数组的数据结构,将不同区域的光谱信息加权结合高程信息建立相似性度量;最后,设置分级的高程阈值,根据不同的区域间高差设置不同的合并阈值权重进行区域合并。利用融合高程信息的低空遥感影像数据及国际摄影测量与遥感协会提供的数据集进行所提方法验证,结果表明,在基于光谱信息的超像素分割与区域合并方法中引入高程信息,取得了良好的分割结果。

关键词: 遥感图像, 图像分割, SLIC超像素, 区域合并, 邻域数组

Abstract: Aiming at the problem that SLIC segmentation algorithm does not consider elevation information in remote sensing image segmentation, which leads to poor segmentation effect of some features, this paper proposes the SLIC super-pixel segmentation of remote sensing image fused with elevation information and the double-threshold region merging method based on elevation grading. Firstly, the elevation information is introduced into the initial clustering segmentation threshold to obtain the initial segmentation result with dependence on both spectral gradient and elevation gradient. Then, the data structure of neighborhood array is adopted on the basis of pre-segmentation to establish the similarity metric by weighting the spectral information of different regions combined with elevation information. Finally, the graded elevation threshold is set, and different merging threshold weights are set according to the elevation difference between different regions perform region merging. The proposed method is validated by using the low-altitude remote sensing image data with fused elevation information and the dataset provided by the international society for photogrammetry and remote sensing, and the results show that good segmentation results are achieved by introducing elevation information in the super-pixel segmentation and region merging method based on spectral information.

Key words: remote sensing images, image segmentation, SLIC super-pixel, region merging, neighborhood array

中图分类号:

P237

赵宗泽, 方明源, 高钊, 王双亭. 融合高程信息的低空遥感影像SLIC分割和区域合并方法[J]. 测绘通报, 2023, 0(4): 35-40.

ZHAO Zongze, FANG Mingyuan, GAO Zhao, WANG Shuangting. Study on SLIC segmentation and region merging method of low-altitude remote sensing images with fused elevation information[J]. Bulletin of Surveying and Mapping, 2023, 0(4): 35-40.

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融合高程信息的低空遥感影像SLIC分割和区域合并方法

Study on SLIC segmentation and region merging method of low-altitude remote sensing images with fused elevation information

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