Xu Han, Li Xiaojuan. Endmemeber extraction for hyperspectral image based on normalized cut and watershed transformation[J]. Journal of Image and Graphics, 2012, 17(7): 880-885. DOI: 10.11834/jig.20120719.
Endmemeber extraction for hyperspectral image based on normalized cut and watershed transformation
As spatial information plays an important role in remote sensing analysis
more and more researchers pay focus on spectral-spatial endmember extraction. An improved endmember extraction method with a spatial preprocessing module
which uses watershed with normalized cuts to avoid over-segmentation and producing accurate results from spectral mixture analysis
is proposed in this paper. According to the experiment in this study the spatial-spectral endmember extraction method can generate a more accurate pixel un-mixing results during image segmentation.
Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University
国防科技大学电子科学与工程学院
武汉大学测绘遥感信息工程国家重点实验室
江西师范大学鄱阳湖湿地与流域研究教育部重点实验室
Institute of Land Reclamation and Ecological Restoration, College of Geoscience and Surveying Engineering, China University of Mining & TechnologyBeijing