Blunder Elimination Techniques in Adaptive Automatic Terrain Extraction
نویسندگان
چکیده
This paper introduced a new automatic terrain extraction (ATE) module inside ERDAS’s photogrammetric software LPS. This method uses a global DEM to initialize a surface model and iteratively refines it with image registration on different pyramid levels. Search range used in image registration is adaptively controlled by elevation range of matched feature points. However, mismatches and elevation blunders may cause search range to be out-of-scope and fail ATE process. We used three blunder elimination techniques to ensure the convergence of search range: positional cross-correlation, PCA-based blunder elimination, and object filtering. The method is tested with images from various sensors including frame cameras, satellites, and Leica’s ADS40.
منابع مشابه
Automatic DEM generation by multi-image feature based matching
One of the major difficulties in the automatic generation of digital elevation models (DEMs) is the procurement of approximate values. This presentation shows a new development based on the extraction of discrete points by an interestoperator and epipolar line intersection techniques in multiple overlapping images. The method can be considered an extension of well-known automatic DEM generation...
متن کاملNext-Generation Automatic Terrain Extraction (NGATE) Innovation in the cost-effective derivation of elevation data from imagery
Automatic determination of heights from imagery is a difficult problem. BAE Systems has offered the Automatic Terrain Extraction (ATE) and Interactive Terrain Editing (ITE) modules of SOCET SET ® for many years and these represent a best-in-industry solution, though mistakes can occur in certain circumstances. Now BAE Systems has introduced Next-Generation Automatic Terrain Extraction (NGATE), ...
متن کاملElimination of Hard-Nonlinearities Destructive Effects in Control Systems Using Approximate Techniques
Many of the physical phenomena, like friction, backlash, drag, and etc., which appear in mechanical systems are inherently nonlinear and have destructive effects on the control systems behavior. Generally, they are modeled by hard nonlinearities. In this paper, two different methods are proposed to cope with the effects of hard nonlinearities which exist in friction various models. Simple inver...
متن کاملAdaptive Wallis Filter via Sparse Recognition for Automatic Control Points Extraction
With the rapid development of the remote sensing satellite, the size and the resolution of satellite images grow increasingly. The evaluation of remote sensing image quality requires precise information of control points extracted from unevaluated images and reference images. Therefore, we propose an adaptive Wallis filter method based on sparse recognition to increase the number of control poi...
متن کاملAutomatic Extraction of Aluvial Fans from Aster L1 Satellite Data and a Digital Elevation Model Using Object-oriented Image Analysis
There is a need to automate terrain feature mapping so that to make the process more objective and less time consuming by using proper feature extraction techniques. The objective of this study was the use of object-oriented image analysis methods for the automatic extraction of alluvial fan terrain units. The study area was located in the Death Valley, Nevada, USA. The data used included an AS...
متن کامل