Rice recognition and extraction could be realized by
constructing multi-temporal and dual polarization
difference index image. Because the difference index
image can reveal the rice signal intensity in SAR image at
the growing stage, and restrain non-rice reflection signal.
This method not only reduced the confusion between rice
and non-rice, but also lessened the amount of processed
data. We can use simple threshold technique to recognize
rice information effectively from SAR data.
Owing to the imaging radar date near the rice
transplanting, the confusion of SAR signal between rice
and some meadow in the beach near the riverside or
seashore may appear. This situation mainly caused by tide
height. We can remove mix-up information by comparing
the backscatter coefficient characteristics of multitemporal
and different polarization SAR data between
rice and non-rice, and get required rice information.
In a word, the image process approach of difference
index can be used to extract rice information, which
provides a new way to identify and monitor rice crop
planting area from SAR data. With the popularity of
multi-polarization SAR data, the application of SAR data
in image processing and information identification will
have a broad development.
Rice recognition and extraction could be realized by
constructing multi-temporal and dual polarization
difference index image. Because the difference index
image can reveal the rice signal intensity in SAR image at
the growing stage, and restrain non-rice reflection signal.
This method not only reduced the confusion between rice
and non-rice, but also lessened the amount of processed
data. We can use simple threshold technique to recognize
rice information effectively from SAR data.
Owing to the imaging radar date near the rice
transplanting, the confusion of SAR signal between rice
and some meadow in the beach near the riverside or
seashore may appear. This situation mainly caused by tide
height. We can remove mix-up information by comparing
the backscatter coefficient characteristics of multitemporal
and different polarization SAR data between
rice and non-rice, and get required rice information.
In a word, the image process approach of difference
index can be used to extract rice information, which
provides a new way to identify and monitor rice crop
planting area from SAR data. With the popularity of
multi-polarization SAR data, the application of SAR data
in image processing and information identification will
have a broad development.
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