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Issues in digital image processing of aerial photography for mapping submersed aquatic vegetation

机译：用于测绘潜水水生植被的航空摄影数字图像处理问题

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This paper discusses the numerous issues that needed to be addressed when developing a methodology for mapping Submersed Aquatic Vegetation (SAV) from digital aerial photography. Specifically, we discuss 1) choice of film; 2) consideration of tide and weather constraints; 3) in-situ survey and geopositioning; 4) orthorectification; and 5) the analog nature of aerial photography versus electronically-sensed spectral reflectance data in the development of classification algorithms. We digitally classified SAV distributions from both large and small format Color Infrared film imagery acquired coincident to extreme low tides using photographic band ratio algorithms and vector masking. Desktop geographical image processing software was used for image classification and georeferencing scanned, low cost, small format imagery to digitally orthorectified, large format imagery.
机译：本文讨论了在开发从数字航站摄影中绘制潜水水生植被（SAV）的方法时需要解决的许多问题。具体而言，我们讨论了1）胶片的选择; 2）潮汐和天气限制的考虑; 3）原位调查和地理定位; 4）矫正; 5）在分类算法的开发中，航空摄影的模拟性与电子感应光谱反射数据。我们使用摄影带比算法和矢量掩蔽来数字地分类到大型和小格式颜色红外胶片图像中获取的大而小型颜色红外胶片图像。桌面地理图像处理软件用于图像分类和地理转移扫描，低成本，小幅格式图像，以数字逆向逆向，大格式图像。

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