基于规则信息的无人机图像建筑物提取
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摘要
基于规则信息的无人机图像建筑物提取,首先要对待处理图像进行图像分割,经过大量的实验确定分割阈值为0.3,通过定义规则信息,解决了建筑物纹理特征与光谱特征与道路、裸地相似的问题,同时,将原始图像的提取结果和与进行主成分分析(PCA)处理后的图像的提取结果进行对比,证明了PCA后的图像提取精度高达85%。
Based on the rule information, the UAV image building extraction firstly needs to process the image for image segmentation. After a large number of experiments, the segmentation threshold is 0.3. By defining the rule information, the problem that the texture features and spectral features of the building are similar to roads and bare land is solved.at the same time, comparing the extraction result of the original image with the extraction result of the image after performing principal component analysis(PCA), it is proved that the image accuracy after PCA is as high as 85%.
Based on the rule information, the UAV image building extraction firstly needs to process the image for image segmentation. After a large number of experiments, the segmentation threshold is 0.3. By defining the rule information, the problem that the texture features and spectral features of the building are similar to roads and bare land is solved.at the same time, comparing the extraction result of the original image with the extraction result of the image after performing principal component analysis(PCA), it is proved that the image accuracy after PCA is as high as 85%.
引文
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[14]郭璇,郑菲,赵若晗,等.基于阈值的医学图像分割技术的计算机模拟及应用[J].软件,2018,39(3):12-15.
[2]吕凤华,舒宁,龚龑,郭清,曲雪光.利用多特征进行航空影像建筑物提取[J].武汉大学学报(信息科学版),2017,42(05):656-660.
[3]董培,石繁槐.基于小型无人机航拍图像的道路检测方法[J].计算机工程,2015,41(12):36-39.
[4]S.Jabari,F.Fathollahi,Y.Zhang,Application of Sensor Fusion to Improve UAV Image Classification,International Archives of the Photogrammetry,Remote Sensing and Spatial Information Sciences-ISPRS Archives,v 42,n 2W6,p153-156,August 23,2017.
[5]吴亚熙,岑峰.基于卷积神经网络的多层级目标检测方法[J].软件,2018,39(4):164-169
[6]汪小钦,王苗苗,王绍强,吴云东.基于可见光波段无人机遥感的植被信息提取[J].农业工程学报,2015,31(05):152-157+159+158.
[7]吴炜,骆剑承,沈占锋,朱志文.光谱和形状特征相结合的高分辨率遥感图像的建筑物提取方法[J].武汉大学学报(信息科学版),2012,37(07):800-805.
[8]秦其明.遥感图像自动解译面临的问题与解决的途径[J].测绘科学,2000(02):21-24+1.
[9]杨存建,周成虎.TM影像的居民地信息提取方法研究[J].遥感学报,2000(02):146-150+166.
[10]朱文泉,林文鹏.遥感数字图像处理--原理与方法[M].高等教育出版社,2015.9.
[11]胡云康,姜苏,吴志荣,等.基于改进的纹理合成图像修复算法[J].软件,2016,37(4):60-63.
[12]唐羊洋,叶华平,吴书金,陈紫旭.基于波段与形状特征的遥感影像建筑物分类提取[J].后勤工程学院学报,2016,32(01):93-96.
[13]郑金志,郑金敏,汪玉琳.基于优化初始聚类中心的改进WFCM图像分割算法[J].软件,2015,36(4):136-142.
[14]郭璇,郑菲,赵若晗,等.基于阈值的医学图像分割技术的计算机模拟及应用[J].软件,2018,39(3):12-15.
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