| Summary: | 碩士 === 國立中興大學 === 水土保持學系 === 91 === ABSTRACT
RPV（Remotely Piloted Vehicle）has been widely used in different mission, puck as in recent years.（surveying on the forestry monitor, researching agriculture, fishery and farming, monitoring on environmental protection and disaster prevention like floods or debris flows）However, RPV is restricted to congenital conditions, such as inaccuracy of RPV, and acquiring data is used for differentiation only. In order to increase the accuracy of RPV image , it is necessary for use to use GCPs to process correct necessary. But it is bad of using too much GCP for correcting.
This study compares mosaicking photos with periods of increasing practicability. By way of grasping probably problems in mosaicking photos, and increasing precision by GPS. This study uses Erdas imagine 8.5 polynomial to understand effects of corrections by GCP and geometric distribution. In the end, we proceed the images classification,s study in geometric corrections. We extract the region of being corrected and then compare it with data by measuring. It also shows that 1st-order Polynomial GCP numbers in four or five is more perfect, and the 2nd-order Polynomial GCP numbers in seven or eight is more perfect. Both of the precisions of plane surface coordinate are also increased. Bilinear interpolation is the better photo,s correction in land uses classification.
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