面向地理国情监测的地表覆盖模糊融合变化检测Land cover change detection based on fuzzy fusion oriented to national geographic condition monitoring
薛昱晟,汪小钦,张因果
摘要(Abstract):
针对人工判读作业模式难以满足地表覆盖变化检测现势性要求的问题,该文围绕地理国情监测技术设计要求和实际生产特点,提出了一种基于地理国情先验知识的多特征模糊融合变化检测方法。利用地表覆盖像斑边界,根据地理国情监测不同地类的最小面积指标进行多尺度分割,获取同质的对象级像斑;构建像斑的光谱、纹理、形状等差值特征集;基于模糊集理论进行特征的自适应加权融合得到初步变化检测结果,根据技术规则剔除不符合要求的像斑,获得最终变化区域。结果表明,该方法能够根据不同地类变化有效地集成不同特征组合表征变化信息,可充分利用地理国情监测前期成果,具有较高的准确率。
关键词(KeyWords): 地理国情监测;地表覆盖;变化检测;模糊融合;多尺度分割
基金项目(Foundation): 中央引导地方发展专项(2017L3012);; 福建省测绘地理信息局科技专项资金资助项目(2017J01)
作者(Author): 薛昱晟,汪小钦,张因果
DOI: 10.16251/j.cnki.1009-2307.2019.12.009
参考文献(References):
- [1]李德仁,丁霖,邵振峰.关于地理国情监测若干问题的思考[J].武汉大学学报(信息科学版),2016,41(2):143-147.(LI Deren,DING Lin,SHAO Zhenfeng.Reflections on issues in national geographical conditions monitoring[J].Geomatics and Information Science of Wuhan University,2016,41(2):143-147.)
- [2] FENG W,ZHANG Y.Object-oriented change detection for remote sensing images based on fuzzy comprehensive evaluation[J].Geomatics and Information Science of Wuhan University,2016,41(7):875-881.
- [3]郝睿,徐俊峰,王庆宝,等.基于BP神经网络的多特征融合变化检测方法[J].海洋测绘,2016,36(1):79-82.(HAO Rui,XU Junfeng,WANG Qingbao,et al.Change detection method using multi-feature fusion based on BP neural network[J].Hydrographic Surveying and Charting,2016,36(1):79-82.)
- [4]杜培军,柳思聪.融合多特征的遥感影像变化检测[J].遥感学报,2012,16(4):663-677.(DU Peijun,LIU Sicong.Change detection from multi-temporal remote sensing images by integrating multiple features[J].Journal of Remote Sensing,2012,16(4):663-677.)
- [5]柴文慧,王光辉,王华斌,等.方差齐性检验与模糊评价的遥感影像变化检测[J].测绘科学,2017,42(4):80-85.(CHAI Wenhui,WANG Guanghui,WANG Huabin,et al.Change detection of remote sensing images based on levene-test and fuzzy evaluation[J].Science of Surveying and Mapping,2017,42(4):80-52.)
- [6]吴田军,马江洪.历史解译知识引导下组合遥感图谱特征的变化检测方法[J].地球信息科学学报,2016,18(5):655-663.(WU Tianjun,MA Jianghong.A remote sensing change detection method combining with spatial-spectral features under the guidance of historical interpretation knowledge[J].Journal of GeoInformation Science,2016,18(5):655-663.)
- [7]李亮,李胜,应国伟,等.融合光谱及纹理异质度的遥感影像变化检测[J].测绘通报,2017(S2):28-33.(LI Liang,LI Sheng,YING Guowei,et al.A method for change detection by integrating spectral and textural heterogeneity using remote sensing imagery[J].Bulletin of Surveying and Mapping,2017(S2):28-33.)
- [8]赵珍珍,燕琴,刘正军.高分遥感影像与矢量数据结合的变化检测方法[J].测绘科学,2015,40(6):120-124.(ZHAO Zhenzhen,YAN Qin,LIU Zhengjun.Research of change detection using high-resolution remote sensing images and vector data oriented to geographic national conditions monitoring[J].Science of Surveying and Mapping,2015,40(6):120-124.)
- [9]李亮,舒宁,王凯,等.融合多特征的遥感影像变化检测方法[J].测绘学报,2014,43(9):945-953.(LI Liang,SHU Ning,WANG Kai,et al.Change detection method for remote sensing images based on multifeatures fusion[J].Acta Geodaetica et Cartographica Sinica,2014,43(9):945-953.)
- [10]王琰.基于像斑统计分析的高分辨率遥感影像土地利用/覆盖变化检测方法研究[D].武汉:武汉大学,2012:38-45.(WANG Yan.The research of land use/cover change detection using high resolution remote sensing images based on image segments statistical analysis[D].Wuhan:Wuhan University,2012:38-45.)
- [11]全卫澎,李卫华,李小春.多特征自适应融合的高分辨率遥感影像变化检测[J].电光与控制,2015,22(3):45-49.(QUAN Weipeng,LI Weihua,LI Xiaochun.Detecting the change of high-resolution remote sensing images by adaptive multi-feature fusion[J].Electronics Optics&Control,2015,22(3):45-49.)
- [12]ZADEH L.Fuzzy sets[J].Information&Control,1965,8(3):338-353.
- [13]吴一全,孟天亮,吴诗婳.图像阈值分割方法研究进展20年(1994—2014)[J].数据采集与处理,2015,30(1):1-23.(WU Yiquan,MENG Tianliang,WU Shihua.Research progress on image threshold segmentation method for 20years(1994—2014)[J].Journal of Data Acquisition and Processing,2015,30(1):1-23.)
- [14]冯文卿,张永军.利用多尺度融合进行面向对象的遥感影像变化检测[J].测绘学报,2015,44(10):1142-1151.(FENG Wenqin,ZHANG Yongjun.Objectoriented change detection for remote sensing images based on multiscale fusion[J].Acta Geodaetica et Cartographica Sinica,2015,44(10):1142-1151.)
- [15]FAUVEL M,CHANUSSOT J,BENEDIKTSSON J A.Decision fusion for the classification of urban remote sensing images[J].IEEE Transactions on Geoscience&Remote Sensing,2006,44(10):2828-2838.