Super-resolution optical mapping of floating macroalgae from geostationary orbit
| Autor: | Rong-Jie Liu, Xiao-Ying Chen, Feng Li, Yanfang Xiao, Yunhong Wei, Tingwei Cui, Jie Zhang, Yi Ma, Xue Yang |
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| Rok vydání: | 2020 |
| Předmět: |
Image quality
Image processing Iterative reconstruction Signal-To-Noise Ratio 01 natural sciences 010309 optics Optics Staring 0103 physical sciences Image Processing Computer-Assisted Electrical and Electronic Engineering Engineering (miscellaneous) Image resolution Remote sensing Geography business.industry Optical Imaging Models Theoretical Seaweed Atomic and Molecular Physics and Optics Geostationary orbit Environmental science Satellite Scale (map) business Environmental Monitoring |
| Zdroj: | Applied optics. 59(10) |
| ISSN: | 1539-4522 |
| Popis: | The spatial resolution of an observation from a geostationary orbiting satellite is usually too coarse to track small scale macroalgae blooms. For macroalgae mapping to benefit from a geostationary orbit’s staring monitoring and frequent revisit intervals, we introduced a super-resolution method that reconstructs a high-resolution (HR) image of a region from a sequence of raw geostationary low-resolution images of the same region. We tested our method with GF-4 images at 50 m spatial resolution and demonstrated that the spatial resolution increased to 25 m. In addition, the derived HR image had better image quality characterized by a higher signal-to-noise ratio, clarity, and contrast. The increased spatial resolution and improved image quality improved our ability to distinguish macroalgae patches from the surrounding waters, especially tiny patches of macroalgae, and to precisely delineate the patch boundaries. Lastly, we more accurately estimated the areal coverage of the patches by reducing underestimation of the coverage of tiny patches and overestimation of the coverage of large patches. |
| Databáze: | OpenAIRE |
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