File(s) under permanent embargo
Segmentation of multispectral high-resolution satellite imagery based on integrated feature distributions
journal contribution
posted on 2023-05-17, 01:13 authored by Wang, A, Wang, S, Arko LucieerArko LucieerTexture features are useful for segmentation of high-resolution satellite imagery. This paper presents an efficient feature extraction method that considers the spatial and cross-band relationships of pixels in multispectral or colour images. The texture feature of an image region is represented by the joint distribution of two texture measures calculated from the first two principal components (PCs). Similarly, the spectral feature of the region is the joint distribution of greyscale pixel values of the two PCs. The texture distributions computed by a rotation invariant form of local binary patterns (LBP) and spectral distributions are adaptively combined into coarse-to-fine segmentation based on integrated multiple features (SIMF). The feasibility and effectiveness of the SIMF segmentation approach is evaluated with multispectral high-resolution satellite imagery and colour textured mosaic images under different conditions.
History
Publication title
International Journal of Remote SensingVolume
31Issue
6Pagination
1471-1483ISSN
0143-1161Department/School
School of Geography, Planning and Spatial SciencesPublisher
Taylor & Francis LtdPlace of publication
4 Park Square, Milton Park, Abingdon, England, Oxon, Ox14 4RnRights statement
The definitive published version is available online at: http://www.tandf.co.uk/journalsRepository Status
- Restricted