计算机与网络
計算機與網絡
계산궤여망락
CHINA COMPUTER & NETWORK
2015年
14期
45-48
,共4页
阈值法%聚类分析%图像分割%云检测
閾值法%聚類分析%圖像分割%雲檢測
역치법%취류분석%도상분할%운검측
threshold value method%cluster analysis%image segmentation%cloud detection
针对国产高分多光谱影像质量判定的需求,提出阈值法与聚类分析相结合的云检测算法.分析大量高分多光谱影像中云区的特征,计算云区值域的统计区间.根据统计结果,首先识别出影像中云区的种子区域和地物的种子区域.利用相似性聚类分析,进一步细化未识别区域,检测出影像中完整的云区.该方法在大量高分多光谱影像数据上进行实验,均得到较好结果.
針對國產高分多光譜影像質量判定的需求,提齣閾值法與聚類分析相結閤的雲檢測算法.分析大量高分多光譜影像中雲區的特徵,計算雲區值域的統計區間.根據統計結果,首先識彆齣影像中雲區的種子區域和地物的種子區域.利用相似性聚類分析,進一步細化未識彆區域,檢測齣影像中完整的雲區.該方法在大量高分多光譜影像數據上進行實驗,均得到較好結果.
침대국산고분다광보영상질량판정적수구,제출역치법여취류분석상결합적운검측산법.분석대량고분다광보영상중운구적특정,계산운구치역적통계구간.근거통계결과,수선식별출영상중운구적충자구역화지물적충자구역.이용상사성취류분석,진일보세화미식별구역,검측출영상중완정적운구.해방법재대량고분다광보영상수거상진행실험,균득도교호결과.
In order to conduct quality judgement of domestic high-resolution image, the cloud-detection algorithm is proposed, which combines the threshold value method with the cluster analysis. By studying the features of clouds in many high resolution multispectral images, the statistical area of cloud value range is calculated. According to the statistical result, the algorithm can be used to identify the seed regions of cloud and object. The unlabeled region is further refined and the whole cloud region is detected by using similarity cluster analysis. Some experiments are conducted on a large number of high-resolution image data are conducted, and the results show that this algorithm has high performance.
