Abstract

The measure and analysis of the spectrum of vegetables is very important for applying remote sensing in identifying vegetable.The spectrum data of the different vegetables such as Chinese cabbage,garden pea,cattle vegetable,verdure,garlic,onion,parsley are gotten by using SE590 hyper-spectral radiometer in Tengchong county of Yunnan province.The spectrum curves of the vegetables are made based on the spectrum data.The spectrum feature is analyzed based on the spectrum data.The first order derivative transfer was carried out in the spectrum data.The first order derivative feature is analyzed.It is shown that:The vegetables can be divided into two groups according to their reflectivity during 400nm to 679nm.The first group with higher reflectivity includes Chinese cabbage,garden pea,cattle vegetable,verdure.The second group with lower reflectivity includes onion,garlic and parsley.Each vegetable can be differentiated from each other according to the peak value,valley value and slope of their spectrum curves,and their reflectivity value in the first group.Each vegetable can be differentiated from each other according to their reflectivity values during 726nm to 1 100nm in the second group.The unique first order derivative feature can be used to identify Chinese cabbage,garden pea,garlic,onion and parsley.

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