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Realization of remote sensing image segmentation based on K-means clustering
| Content Provider | Scilit |
|---|---|
| Author | Wang, Yanhong Li, Deng Hui Wang, Yuying |
| Copyright Year | 2019 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering Segmentation of remote sensing image is the key technology of positioning system. Firstly, we transform the remote sensing image from RGB pace to Lab space. Then, three centres are iterated by using K- means algorithm. Finally, in order to eliminate the influence, the closed operation of mathematical morphology is used to correct the segmented image. The results show that it can segment the road from the remote sensing image in lab mode, by using K-means clustering algorithm. Moreover, Lab mode is more suitable for k-mean than other modes. |
| Related Links | https://iopscience.iop.org/article/10.1088/1757-899X/490/7/072008/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/490/7/072008 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 7 |
| Volume Number | 490 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-04-12 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Hardware and Architecture Lab Mode Image Segmentation Using K K Means Clustering Remote Sensing Image |
| Content Type | Text |
| Resource Type | Article |
