Zhang, X.;Wu Q.Y., and Chen Y.X., 2018. Multiple Satellite Image Data Coordinative Computation Technology and Application in Coast Region. In: Shim, J.-S.; Chun, I., and Lim, H.S. (eds.), Proceedings from the International Coastal Symposium (ICS) 2018 (Busan, Republic of Korea). Journal of Coastal Research, Special Issue No. 85, pp. 1436–1440. Coconut Creek (Florida), ISSN 0749-0208.

Remote sensing data from different sensors have different advantages in wave band, space resolution, time resolution, imaging mode and different adaptabilities. The ecological environment and dynamic change monitoring of coast zones requires mutual image data coordinative computation. First, the earth observation net is introduced which can provide the cooperative observation ability. Second, this paper studies coordinative computing method of multi-source images which integrates multiple imaging advantages. This paper tests fine extraction and quantitative computing for pattern patches of the non-point source polluted scenery centralized layout in the coast zone, Fujian province, China. The results show that this method improves spatio-temporal recognition precision and quantitation precision.