How to extract and calculate subtle spectral feature information of crop under various environmental-induced stresses from hyperspectral remote sensing is crucial for the application of remote sensing in monitoring agricultural pollution. The objective of this paper is to monitor the stress levels of rice under the Pb pollution. Hyperspectral data and heavy metal content were collected in the field experiment. The fifth level high—frequency component （d5） was obtained by performing wavelet transform to hyperspectral reflectance （350-1300 nm） and the fractal dimension of d5 was also calculated. Then the relationship between fractal dimension of d5 and different stress levels of rice was established by the fuzzy logic model. The results showed that: （1） d5 can effectively distinguish the stress levels of rice Pb pollutions; （2） the annual relative variation ratio for fractal dimension of d5 was below 4%

and the classification accuracy of fractal dimension of d5 was above 75%. Namely

fractal dimension values of d5 for rice under high

medium and low pollutions have percentage of 86.7% between 1.160 and 1.200

75% between 1.220 and 1.275

91.7% between 1.280 and 1.320

respectively. （3） the high （low） semi-trapezoidal functions were carried out to construct a model to detect stress levels of rice.