Jiangang Tu, Hui Wang, Cheng Xu, Jinjun Ju, Zenghui Shen. Hyperspectral Image Mosaicking Based on Double-Layer Fusion of Image and Data[J]. Laser & Optoelectronics Progress, 2021, 58(2): 0210016
- Laser & Optoelectronics Progress
- Vol. 58, Issue 2, 0210016 (2021)
Fig. 1. Framework of image mosaicking algorithm
Fig. 2. Schematic of calculation method of weighted sum method
Fig. 3. Schematic of splitting high and low status data
Fig. 4. Storage way of BIL
Fig. 5. Hyperspectral images to be mosaicked. (a) Image 1; (b) image 2
Fig. 6. Feature points of two hyperspectral images
Fig. 7. Range of matching feature points
Fig. 8. Correspondence between characteristic point pairs
Fig. 9. Image extracted in single channel. (a) Image 1; (b) image 2
Fig. 10. Mosaicking results of different images. (a) Low status image; (b) high status image
Fig. 11. Data of different types. (a) High status data; (b) low status data; (c) hyperspectral image data
Fig. 12. Stored data
Fig. 13. Image after mosaicking
Fig. 14. Two other hyperspectral images to be mosaicked. (a) Image 3; (b) image 4
Fig. 15. Hyperspectral image after mosaicking
Fig. 16. Similarity curves of different scene images. (a) Grass land; (b) cement land; (c) road; (d) forest land
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Table 1. Accuracy before and after data layer image mosaicking
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Table 2. Accuracy before and after image mosaicking
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