recognition and monitoring. In the past, most of the
studies of rice mapping and yield estimation are based on
single polarized SAR data. In order to evaluate the
feasibility of rice recognition approach and compress the
amount of SAR data, multi-temporal and dual polarized
SAR data were used here. In rice growing stage, two
dates and dual polarization ( VV & HH) ENVISAT
ASAR data were acquired in Changle study area. With the
analysis of rice and other land cover classes backscatter
coefficient, an image processing method of difference
index was applied to enhance rice information and
decreased the confusion between rice and non-rice.
Threshold technique was carried out finally for extracting
rice information. Results indicate that the rice
information extraction achieves a 91.02% overall
accuracy. Therefore, the method is an effective one for
SAR information recognition in distinguishing rice and
other land cover categories.
Keyword: Multi-temporal; dual polarization; SAR; rice
recognition
1.