摘要
受人类视觉认知机制的启发,提出了一种利用视觉显著性与知觉组织相结合的高分辨率遥感影像居民地提取方法。首先利用认知物理学中的数据场构建居民地的视觉显著性模型,并通过自适应阈值法实现候选居民地的自动提取,然后利用多尺度小波变换的高频特征实现居民地的知觉组织,最后通过集合交运算提取同时满足这两种视觉机制的居民地。通过ZY-3和Quickbird两种高分传感器的影像数据集进行居民地提取试验,验证了该方法的有效性。
Inspired by human visual cognitive mechanism,a method of residential area extraction from highresolution remote sensing images was proposed based on visual saliency and perceptual organization.Firstly,the data field theory of cognitive physics was introduced to model the visual saliency and the candidate residential areas were produced by adaptive thresholding.Then,the exact residential areas were obtained and refined by perceptual organization based on the high-frequency features of multi-scale wavelet transform.Finally,the validity of the proposed method was verified by experiments conducted on ZY-3 and Quickbird image data sets.
出处
《测绘学报》
EI
CSCD
北大核心
2017年第12期1959-1968,共10页
Acta Geodaetica et Cartographica Sinica
基金
国家自然科学基金(41501378)
江苏省自然科学基金(BK20150835)
安徽省智慧城市与地理国情监测重点实验室开放性课题基金资助课题(2016-K-03Z)
南京邮电大学引进人才科研启动基金(NY214196)~~
关键词
高分辨率遥感影像
视觉显著性
数据场
知觉组织
小波变换
居民地提取
high-resolution remote sensing image
visual saliency
data field
perceptual organization
wavelet transform
residential area extraction
