In recent years

the segmentation of coastal hyperspectral remote sensing image which combines ground objects identification with anomaly target detection

is receiving more attention. Moreover

it is a challenge for the massive data and complex construction of hyperspectral image. This paper presents a partial differential equation for active contour models based on the spectral characteristic of coastal terraqueous region segmentation for reference. First

the pixel spectral information of coastal hyperspectral remote sensing image is used as the reference point to construct an energy deviation matrix. Then

using this energy deviation matrix

a new active contour model of terraqueous region segmentation is proposed. It improves the capture and anti-noise capacities of terraqueous marginal region

based on the edge guide function of gradient. The experimental results

compared with that of traditional active contour models

demonstrate that the proposed approach not only yields accurate segmentation but enhances the calculation speed as well.