Abstract
UltraCam and UltraMap: the all in one photogrammetric solution
This paper gives a brief overview about the UltraCam aerial camera family, highlighting the ultra-large format camera UltraCam Eagle. Then the new upcoming version of UltraMap 3.0 is discussed in detail. UltraMap 3.0 implements the famous dense matcher, developed since years by Vexcel Imaging in Graz for Microsoft’s Bing Maps project, into the commercially available UltraMap software. That represents a revolutionary step in digital photogrammetry. The dense matcher generates digital surface models (DSM) and digital terrain models (DTM) automatically out of a set of overlapping UltraCam images. The models have an outstanding point density of several hundred points per square meter and sub-pixel accuracy and are generated automatically. UltraMap 3.0 features also an additional step which is presented in this paper, a complete automated true-ortho and ortho workflow. For this, the UltraCam images are combined with the DSM or DTM in an automated rectification step and that results in high quality true-ortho or ortho images as a result of a highly automated workflow. The paper presents the new workflow and first results.

Abstract
Aggregation of LiDAR, RADAR and Optical Terrain Data for a 30 Meter Sampled Global DEM
For various parts of the world, digital maps of Earth's topography are limited, inaccurate, or nonexistent. For example, many mountain chains, inhospitable deserts, and dense tropical rain forests have topographic coverage that is totally inadequate mainly because of the difficulty in getting to these locations. Even where topographic maps exist, they may have been created in such a way as to limit their usefulness. Neighbouring countries may generate topographic data using entirely different methods. This lack of standardization effectively limits the scope of regional or global studies where precise topography is important. The vertical accuracies of ICESat reference data is within 25cm RMSE on (relatively) flat and open areas. The positional accuracy is published to be about 4m. The impact of vegetation cover and terrain slope on the vertical accuracy of the 30 m elevation data were assessed. Results indicate that the high resolution 30 m DEM performs better in barren low sloped terrain, than in vegetated and slopes greater than 10 degrees. The vertical accuracy results offer an improvement over the SRTM V4 and ASTER V2 near global elevation data sets. This data set has great implications for national governments, who now have a high resolution seamless DEM for their entire country.

Abstract
High resolution stereo satellite mapping is beginning to replace GPS and conventional surveying on resource development projects in the developing world
Resource development feasibility studies, project planning and construction always require accurate, reliable, 3D mapping of surface features. Accurate locations of drill hole collars and surface geological features are critical to the correct interpretation of mine geology. With improvements in the accuracy and reliability of stereo satellite mapping we are beginning to see stereo satellite mapping replacing GPS and conventional surveying in determining and verifying locations of surface features on resource development projects in the developing world. With 50cm resolution WorldView and GeoEye stereo satellite photos and new developments in stereo satellite processing systems, better than 50cm in horizontal and vertical accuracy can now be achieved with approximately one ground survey point for each 200km2. With this improvement in mapping accuracy, stereo satellite mapping is now being used to replace much of the ground surveying on many projects and to quality control the remaining ground surveying. We will show a number of commercial applications of stereo satellite elevation mapping projects with better than 50cm horizontal and vertical accuracy and the identification of a variety of ground survey errors with stereo satellite mapping.

Abstract
Using Nonlinear Image Processing Techniques for Revealing Hydrothermal Alterations in Mineralized Regions of Eastern Azerbaijan/Iran
Remotely sensed data usually contain a large amount of information critical for hydrothermal mineralization. A processed photomap is however not a type of “ready-to-use“data for assessing mineral potentials only if the coherent components of multisource diffusions could be divided to threshold and anomalous reflections. The fractal filtering technique, as recently-developed tool for assigning coherent signatures, is able to extract meaningful sequences of digital numbers as physical indications related to altered regions. The research has been introduced to interpolating of the meaningful digital numbers after analysis of the principle components due to Fourier transformations and fractal grids. Considering to casual experiences, frequency interpolations give rise to appearing a set of decomposed but coherent reflections which most of them are in spatial associations with encouraged mineralized regions. From geological points of view, hydrothermal alterations originated from post magmatic differentiation processes can be revealed geometrically and prioritized to mineable targets by applying spectrum area models to remotely sensed quantitative dataset. In practice, a Crosta photomap has been selected and processed nonlinearly in order to prognosis of solution related alterations which are finely hosted by Neogene extrusives in Armudaq region, Eastern Azerbaijan, NW of Iran.

Abstract
LASzip: lossless compression of LiDAR data
Airborne laser scanning technology (LiDAR) makes it easy to collect large amounts of point data that sample the elevation of the terrain beneath. The LAS format has become the de facto standard for storing and distributing the acquired points. As the sampling density of LiDAR increases so does the size of the resulting files. Typical LAS files contain tens to hundreds of millions points today, but soon billions will be commonplace. We describe a completely lossless compression scheme for LiDAR in binary LAS format versions 1.0 to 1.3. Our encoding and decoding speeds are around one to three millions points per second and our compressed files are only 7 to 25 percent of the original file size. Compression and decompression happen on-the- fly in a streaming manner and random-access is supported with a default granularity of 50,000 points. A reference implementation unencumbered by patents or intellectual property concerns is freely available with an LGPL-license, making the proposed compression scheme suitable to become part of the LAS standard.