slide 36

SAR applications are discussed, focusing on sensor and object sectors determining backscatter. SAR images are useful for fraud detection caused by typhoons or storms. SAR signals can penetrate clouds, allowing detection of fraud using SAR images before and after the events. Urban flooding is used as an example, where water surface reflection causes dark SAR images. Comparing images can reveal regions that become dark. Refer to the paper for more details. Here, I would like to brief the SAR applications. We have talked about the sensor sectors and the object sectors that determine the backscatter. The characteristics are key to the SAR applications. For example, using SAR images to do fraud detection is pretty popular. Fraud is usually caused by typhoons or storms. Because SAR signals are capable of penetrating the cloud, we can use SAR images to detect a fraud if there are two SAR images between the events of a typhoon or storm. Here, we use the urban flooding as an example. There are many buildings in the city, so the SAR image in the urban regions is bright. However, if fraud happens, the water surface causes the spectral reflection. It causes the SAR image to be dark. We can compare the two SAR images before and after the events to see whether some regions become dark. You can read the paper for the details.