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Abstract:
Plastics have become an indispensable part of our daily life. It is a group of materials with outstanding properties for various products in a wide range of applications. They are durable, lightweight and cost-effective to manufacture. However, these advantages can develop to disadvantages if plastics are released into the environment uncontrolled and in large quantities. Here, both seas and soils form a final sink. Remote sensing has been used for many decades to observe the earth's surface and the processes that take place on it. The detection and identification of plastic litter is one of the latest applications of remote sensing. In recent publications, the potential of imaging spectroscopy has been highlighted, since it allows material identification and quantification based on material-specific absorption bands. In this study we investigate the influence of the object transparency and background surface reflectance on the detection and identification using hyperspectral remote sensing.
