Non - supervised textural images segmentation based on gray level rank vector 基于灰度秩數(shù)向量的非監(jiān)控紋理圖像分割
The image of nanchuan in 2000 was interpreted using a multi - extracting method combining supervised classification with non - supervised classification 利用監(jiān)督分類和非監(jiān)督分類相結(jié)合的分層提取分類方法對南川市2000年遙感影像進行解譯。
The image of nanchuan in 2000 was interpreted using a multi - extracting method combining supervised classification with non - supervised classification 摘要利用監(jiān)督分類和非監(jiān)督分類相結(jié)合的分層提取分類方法對南川市2000年遙感影像進行解譯。
Clustering , which is used to differ and classify the things according to their comparability , is a process in which there is no one to guide them . so it is a non - supervising classifying 聚類就是按照事物間的相似性進行區(qū)分和分類的過程,在這一過程中沒有教師指導(dǎo),因此是一種無監(jiān)督分類。