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一、前言滩涂,是国家主要开发的丰富资源区,而我国对这一广阔区域的调查与研究,长期以来限于常规手段,限制了资源区划工作。近10a来人们进行过常规的点位调查,虽然获得了本研究区经济贝类可开发性的认识,但对其生活习性的大范围环境制约条件的了解,却有很大的局限性。利用I~2S101系统人-机对话式数字图象处理,对研究区影象分析作出判决,由此获取与研究目标密切相关的地貌因子与海洋水文要素,用以建立模式识别的基础。对经济贝类潜在生产力及其开发利用乃至出口进行预测,具有十分重要的意义。
I. Introduction Tidal flat is a rich resource area that is mainly developed by the country. However, the investigation and research on this vast area in China has long been limited to conventional measures, limiting the resource zoning work. In the recent 10 years, people conducted routine spot investigation. Although the understanding of exploitability of economic shellfish in this study area was obtained, the understanding of the wide range of environmental conditions restricting their living habits has great limitations. Using I ~ 2S101 system man-machine dialogue digital image processing, the judgment of the image analysis in the study area is made, and the geomorphic factor and ocean hydrological factors which are closely related to the research goal are acquired, so as to establish the basis of pattern recognition. It is of great significance to forecast the potential productivity of economic shellfish and its development, utilization and even export.