Monitoring the movement of the excavated slope beside of the highway is important works in order to prevent disaster like a land slide, beforehand. For the purpose to measure the displacement of the slope, it is insufficient to measure few number of the target to catch displacement as a surface. Recently some research has been done to apply the technique of the close range photogrammetry method by the digital photograph to measure the excavated slope. But it costs too many time to presume the exterior orientation element of the camera and to mark the all target ID in thirty or more Pictures. The method of applying some target group so called‘Coded Target’like as patterned target placement had been examined, but found out the difficulty for applying to measure the slope. Then the solution of using colored target and to detect of each of them by software has been tried. After some experiment, it is found that to describe the image data in color of HSV color space is good for color recognition. The result of field test mentioned that the automatic processing by the colored target is effective for the underexposure picture (-1EV) up to proper exposure picture, and it make possible to reduce the 90% of operational time for the work to estimate camera exterior orientation and to get all target position in each picture.
In this research, the technique of determining threshold value in the threshold value method was presented by using JERS-1 SAR (L-band) data, and the accuracy of extracted inundation area based on the threshold was assessed the GrandTruth result and optical sensor OPS (VNIR) . The mis-distinguished area was clarified. As a result, it was clarified that the technique of determining threshold value presented by this research is effective, and the overall accuracy and κ statistics of inundation area for extracted by using JERS-1 SAR was 88.0% or more and 0.61 or more, respectively. Moreover, the inundation area extracted by JERS-1 SAR are underestimated on the swampy area or the former channel, and overestimated on the natural levee where vegetation is growing.