收稿日期: 2013-05-21
修回日期: 2013-09-04
网络出版日期: 2014-07-15
基金资助
国家重大科技专项（02-Y30A04-9001-12/13，30-Y20A02-9003-12/13）资助
A fast method for creation of the initial objects for FNEA image segmentation
Received date: 2013-05-21
Revised date: 2013-09-04
Online published: 2014-07-15
邓富亮 , 范协裕 , 王刚 , 马娟 . 一种FNEA影像分割算法中初始对象的快速构建方法[J]. 中国科学院大学学报, 2014 , 31(4) : 484 -491 . DOI: 10.7523/j.issn.2095-6134.2014.04.007
The fractal net evolution approach (FNEA) is an object-oriented segmentation method with high precision for high spatial resolution remote sensing images. However, experiments indicate that this method has two problems. It has considerable low execution efficiency, and the region merging criteria cannot be applied to a region object with single pixel. A fast scanning image segmentation method is proposed to generate initial region objects, and the region merging approach based on the minimum heterogeneity principle is applied to the FNEA. Experimental results show that the proposed method significantly improves efficiency by setting appropriate threshold parameters without loss of segmentation accuracy. So, the method has highly practical value in universality and reliability.
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