Chen, Y.; Ma, Q.; Liu, C., and Shu, Q., 2019. Mapping detection of marine data based on space remote sensing technology. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 717–722. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the ability of marine data cartographic detection and map reconstruction, a method of marine data cartographic detection based on spatial remote sensing technology is proposed. A cartographic detection technology of marine data based on space remote sensing technology is proposed. Spatial remote sensing technology is used to remove the non-significant interference of ocean surface information in the color spots of ocean currents and monsoon. The square grid is divided into square grid in the space of marine data cartographic detection feature distribution, the remote sensing information features of marine data mapping are calculated, and the random logarithmic fluctuation error vector is selected to obtain the regular size fluctuation integer vector of marine data cartography. The spatial remote sensing image segmentation method based on topological theory calculates the regular size information of marine data cartography, and preserves the stability of Harris corner detection algorithm. The algorithm combines the scale invariance of SURF algorithm and improves the accuracy and efficiency of feature matching in cartographic detection of marine data. The simulation results show that the marine data cartographic detection technology based on spatial remote sensing technology has strong anti-interference performance, accurate calibration of marine data map feature points, less repetition points, good robustness to scale, wave fluctuation and noise, and improves the accuracy and rate of ocean data mapping detection.