Study On Geometric Precision Rectification Of Remote Sensing Imagery And System Design

The developing earth observation by satellites promotes the application of remote sensing data; it plays an important role in national economics and national defense construction. However, the remote sensing images are affected by different errors and bring the geometric distortion. So the geometric rectification must be used in order to attain precise geocoding and prove the support for geometrical measuring, reciprocal comparison, image compound and etc. The mathematical model is the basis of geometric rectification, which defines the imaging relationship of imagery. Usually, the mathematical model is divided into two parts: one part is the rigor geometric rectification model relying on sensor parameters (RGRM), and the other part is the generalized geometric rectification model without sensor parameters (GGRM). In the case of passive reception or the loss of sensor parameters, it is hard to use sensor parameters for imagery rectification directly based on RGRM. Therefore the way of geometric rectification based on ground control points (GCPs), which is the geometric precision rectification, is adapted. There are many geometric precision rectification models proposed now. Comparing these models from the accuracy and performance comprehensively and studying the application of some models for new imagery such as QuickBird and so on will benefit the practical application. Moreover, comparing varieties of optical rectification models, the SAR rectification models are fewer and they belong to RGRM. So in the case of passive reception it is difficult to perform the location for SAR imagery. In addition, acquisition of GCPs in distressed area such as desert, ocean, oversea and so on is difficult or even impossible. Also the sensor parameters are lost in the case of passive reception, which brought greater difficulty for these regions location. Studying imagery location without GCPs or with few GCPs is significant for defending national security and surveying natural resource. Besides, whether GCPs can be acquired efficiently and accurately is the bottle neck of achieving rectification automatically. The traditional way to gather GCPs cost great effort and time by interpreting from the reference images or measuring up. Also the...