DISCUSSION ON THE REQUIREMENTS OF VNIR HYPERSPECTRAL DATA FOR AGRICULTURAL APPLICATIONS ACCORDING TO PHI DATA AND CSAM MODEL

摘要

According to the application of PHI data on agricultural information extraction both in Changzhou,rnChina and Nagano, Japan, we found that the results closely depend on the HRS data quality. As thernspectral features of vegetation are particular with high shape similarity but with high intensityrnvariation, the quality requirements are special. The general factors of pixel size, band combinationrnand noise limit for different information objects are discussed in this paper. According to the twornmodels of CSAM and IARS, with rice as example, it shows that a pixel size of 1.2meter is suitablernin the area such as Changzhou and Nagano. The top-priority range of VNIR should be the red edgernof 670-780nm and fine-division is necessary with a suggestion of about 40 bands with 3nmrnresolution. While in belts of 400-670 and 780-900nm, wider and less bands are acceptable.rnAccording to the application of IARS and the linear property of rice spectral, it was suggested thatrnS/N in order of x 10 is enough for plant recognition, but for species classification lot a certain plant,rnit should be square with an order up to×10~2-×10~3.