文章基本信息

标题：Large Remote Sensing Image Segmentation with Stitching Strategy Based on Dominant Color
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作者：Haizhong Zhang ; Ligang Wang ; Fei Tong 等
期刊名称：Journal of Software
印刷版ISSN：1796-217X
出版年度：2021
卷号：16
期号：2
页码：67-79
DOI：10.17706/jsw.16.2.67-79
语种：English
出版社：Academy Publisher
摘要：Large remote sensing image segmentation is a crucial issue in object-based image analysis. It is common sense that a segmentation framework consists of three components: (1) dividing largeremote sensing image into blocks for overcoming the constraint of computer memory; (2) executing segmentation algorithm for each block individually; (3) stitching segmentation results of all blocks into a complete result for eliminating artificial borderscreated by dividing blocks. However, there is a lack of mature technologies to eliminate artificial borders produced by dividing blocks. In this paper, we proposed a new stitching strategy based on the dominant color similarity measure and modified thetraditional methodof dominant color similarity measure to make itmoresuitable for measuring the similarity of two segmented regions. A multi-scale segmentation algorithm is adopted for segmenting each block. External memory is used to store intermediate segmentation results and exchange data with internal memory. We tested the algorithm with three different images and validated that the algorithm can implement the segmentation for large remote sensing images in a common computer. Experiments demonstrate that the stitchingstrategy based on the similarity measure of dominant color can effectively eliminate artificial borders.
关键词：Large image segmentation; stitching algorithm; dominant color; similarity measure; dividing block