Spatial-Temporal Sub-Pixel Mapping Based on Swarm Intelligence Theory
AbstractIn the past decades, sub-pixel mapping algorithms have been extensively developed due to the large number of different applications. However, most of the sub-pixel mapping algorithms are based on single-temporal images, and the results are usually compromised without auxiliary information due to the ill-posed problem of sub-pixel mapping. In this paper, a novel spatial-temporal sub-pixel mapping algorithm based on swarm intelligence theory is proposed for multitemporal remote sensing imagery. Swarm intelligence theory involves clonal selection sub-pixel mapping (CSSM), which evolves the solution by emulating the biological advantage of the human immune system, and differential evolution sub-pixel mapping (DESM), which optimizes the solution by intelligent operations and heuristic searching in the solution pool. In addition, considering the under-determined problem of sub-pixel mapping, the spatial-temporal sub-pixel mapping method is used to obtain the distribution information at a fine spatial resolution from the bitemporal image pair, which exactly regularizes the ill-posed problem. Furthermore, the short-interval temporal information and the fine spatial distribution information within the bitemporal image pair can be integrated for further use, such as timely and detailed land-cover change detection (LCCD). To verify the validation of the swarm intelligence theory based spatial-temporal sub-pixel mapping algorithm, the proposed algorithm was compared with several traditional sub-pixel mapping algorithms, in both synthetic and real image experiments. The experimental results confirm that the proposed algorithm outperforms the traditional approaches, achieving a better sub-pixel mapping result both qualitatively and quantitatively, as well as improving the subsequent LCCD performance. View Full-Text
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He, D.; Zhong, Y.; Feng, R.; Zhang, L. Spatial-Temporal Sub-Pixel Mapping Based on Swarm Intelligence Theory. Remote Sens. 2016, 8, 894.
He D, Zhong Y, Feng R, Zhang L. Spatial-Temporal Sub-Pixel Mapping Based on Swarm Intelligence Theory. Remote Sensing. 2016; 8(11):894.Chicago/Turabian Style
He, Da; Zhong, Yanfei; Feng, Ruyi; Zhang, Liangpei. 2016. "Spatial-Temporal Sub-Pixel Mapping Based on Swarm Intelligence Theory." Remote Sens. 8, no. 11: 894.
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