海图面状要素注记字级的自动确定

目前,海图面状要素注记字级的确定通常取决于海图制图资料,需要人工判定,工作效率低、注记字级很难保持协调统一的问题。以海图上的岛屿和群岛为例,从模拟人脑思维的方式出发,通过对已出版海图上大量岛屿和群岛的图上面积计算及相应字级的统计分析,构建了面积与注记字级关系模型,并将这一关系模型应用到面状要素注记字级的自动确定中。实验表明,该方法根据海图面状要素图上面积的大小自动给出了合适的字级,保持了整幅海图注记字级的协调统一,且执行效率较高。

Automated Determination for Word Level of Area-feature Annotation on Navigational Chart

At present,the determination for word level of area-feature annotation on navigational chart usually depends on cartographic data needing artificial judgement,however,the efficiency is low and word level is hard to keep harmonious and unified.Based on a case of island and islands,by means of simulating thinking of human brain,according to area-calculating of island and islands and statistical analysis of word level on navigational charts,a relation model of area and word level is built,while the model is applied to automatically determinate word level of area-feature annotation.Experiments show that the method provides the appropriate word level automatically,according to the size of areafeature area,keeps the whole word level harmonious and unified,while the executive efficiency is higher.