多主体框架下基于FCM的彩色遥感图像分割
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摘要
为解决大尺度高分辨率遥感图像的数据量大及局部非均匀问题,提出一种在多主体系统(MAS)框架下基于模糊C均值(FCM)的彩色遥感图像分割方法。首先利用规则划分技术将图像域划分为若干个子块,每个分割主体控制一个子块;然后在MAS框架下,分割主体通过FCM算法实现对应子块的初始分割,将初始结果与全局模型协作,确定其区域正确类别数和标号统一;最后通过协调主体协调各分割主体及其邻域分割主体的聚类中心,从而消除遥感图像的局部非均匀性,以实现彩色遥感图像分割。利用提出算法和FCM算法分别对真实彩色遥感图像和合成图像进行了分割试验,并对其分割结果进行定性、定量评价,其结果说明了提出方法的可行性和有效性。
For the large-scale remote sensing imagery which has large data and local feature heterogeneity,this paper presents a color remote sensing imagery segmentation method based FCM within a multi-agent system framework. Firstly,dividing the image domain into several sub-domains with rule division tecnology and each segmentation agent controls one sub-domain. And then,the segmentation agent executes the segmentation of its sub-domain by FCM to get the initial local segmentation result within MAS framework,via the harmonizing the local result with the global segmentation result to obtain the true local class number and unify the local label. Finally,the coordinate agent is employed to eliminate the local feature heterogeneity of remote sensing imagery via coordinating the cluster centers of each segmentation agent with its neighbors. The experiments are carried out on the synthetic imagery and the color remote sensing images. The results are qualitatively and quantitatively evaluated and certify the efficiency and effectiveness of the proposed algorithm.
For the large-scale remote sensing imagery which has large data and local feature heterogeneity,this paper presents a color remote sensing imagery segmentation method based FCM within a multi-agent system framework. Firstly,dividing the image domain into several sub-domains with rule division tecnology and each segmentation agent controls one sub-domain. And then,the segmentation agent executes the segmentation of its sub-domain by FCM to get the initial local segmentation result within MAS framework,via the harmonizing the local result with the global segmentation result to obtain the true local class number and unify the local label. Finally,the coordinate agent is employed to eliminate the local feature heterogeneity of remote sensing imagery via coordinating the cluster centers of each segmentation agent with its neighbors. The experiments are carried out on the synthetic imagery and the color remote sensing images. The results are qualitatively and quantitatively evaluated and certify the efficiency and effectiveness of the proposed algorithm.
引文
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[17]赵泉华,李红莹,李玉.区域化模糊C均值高分辨率彩色遥感影像分割方法[J].控制与决策,2015,30(9):1706-1710.
[2]王玉,李玉,赵泉华.基于规则划分和RJMCMC的可变类图像分割[J].仪器仪表学报,2015,36(6):1388-1396.
[3]李德仁,童庆禧,李荣兴,等.高分辨率对地观测的若干前沿科学问题[J].中国科学(地球科学),2012,42(6):805-813.
[4]BENEDIKTSSON J A,CHANUSSOT J,MOON W M.Very High-resolution Remote Sensing:Challenges and Opportunities[J].Proceedings of the IEEE,2012,100(6):1907-1910.
[5]BRUZZONE L,CARLIN L.A Multilevel Context-based System for Classification of very High Spatial Resolution Images[J].IEEE Transactions on Geoscience and Remote Sensing,2006,44(9):2587-2600.
[6]王春艳,徐爱功,杨本臣,等.基于区间二型模糊模型的高分辨率遥感影像分割方法[J].仪器仪表学报,2016,37(3):658-666.
[7]赵雪梅,李玉,赵泉华.结合高斯回归模型和隐马尔可夫随机场的模糊聚类图像分割[J].电子与信息学报,2014,36(11):2730-2736.
[8]霍冠英,刘静,李庆武,等.空间约束FCM与MRF结合的侧扫声呐图像分割算法[J].仪器仪表学报,2017,38(1):226-235.
[9]程显毅,梁军,马首明.基于多agent系统的医学图像进化分割算法的研究[J].南京大学学报(自然科学),2008,44(5):503-511.
[10]DUSCHESNAY E,MONTOIS J J,JACQUELET Y.Cooperative Agents Society Organized as an Irregular Pyramid:a Mammography Segmentation Application[J].Pattern Recognition Letters,2003,24(14):2435-2445.
[11]RODIN V,BENZINOU A,GUILLAUD A,et al.An Immune Oriented Multi-agent System for Biological Image Processing[J].Pattern Recognition,2004,37(4):631-645.
[12]KASAIEZADEH A,KHAJEPOUR A.Multi-agent Stochastic Level Set Method in Image Segmentation[J].Computer Vision and Image Understanding,2013,117(9):1147-1162.
[13]XU X,ZHONG Y F,ZHANG L P.Adaptive Subpixel Mapping Based on a Multiagent System for Remotesensing Imagery[J].IEEE Transactions on Geoscience and Remote Sensing,2014,52(2):787-804.
[14]CHITSAZ M,SENG W C.Medical Image Segmentation Using a Multi-agent System Approach[J].The International Arab Journal of Information Technology,2013,10(3):222-229.
[15]张金静,李玉,赵泉华.多主体框架下结合最大期望值和遗传算法的SAR图像分割[J].中国图象图形学报,2016,21(1):86-94.
[16]MELKEMI K E,BATOUCHE M,FOUFOU S.Chaotic Multiagent System Approach for MRF-based Image Segmentation[C]∥Proceedings of the 4th International Symposium on Image and Signal Processing and Analysis.Eagreb:IEEE,2005:268-273.
[17]赵泉华,李红莹,李玉.区域化模糊C均值高分辨率彩色遥感影像分割方法[J].控制与决策,2015,30(9):1706-1710.