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Englewood, CO, United States

Intermap Technologies is a publicly traded company headquartered in Douglas County, Colorado, United States. Intermap provides geospatial solutions that allow GIS professionals in commercial and government organizations worldwide to build a broad range of applications. Industries such as energy, engineering, government, risk management, telecommunications, water resource management, and automotive use Intermap’s NEXTMap 3D terrain products and geospatial services. Wikipedia.

Bian Y.,University of Calgary | Mercer B.,University of Calgary | Mercer B.,Intermap Technologies
IEEE Geoscience and Remote Sensing Letters | Year: 2010

In this letter, the polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR) statistical model is studied using the alpha-stable distribution. Based on this model, a vector coherence formulation using fractional lower order statistics is proposed. This vector coherence is the generalization of the vector coherence in the paper of Cloude and Papathanassiou when the PolInSAR data are non-Gaussian and conform to the symmetrical form of the alpha-stable distribution. The standard coherence optimization method in the aforementioned paper is modified based on this generalized vector coherence. Results were demonstrated using a small L-band PolInSAR data set and suggest that this proposed coherence optimization method reduces artifacts in the optimized phases in certain areas. © 2006 IEEE.

Bian Y.,University of Calgary | Mercer B.,University of Calgary | Mercer B.,Intermap Technologies
IEEE Geoscience and Remote Sensing Letters | Year: 2010

A polarimetric synthetic aperture radar (SAR) coherence calculation method based on fractional lower order statistics (FLOS) was proposed in Bian's paper. In this letter, we apply this approach to the coherence calculation for interferometric SAR (InSAR) and provide a detailed analysis. An L-band InSAR data set is used to provide comparative results between the coherence derived in the traditional manner and that based on FLOS. In the areas around strong scatterers, the coherence is found to be biased due to the deviation of the statistical model from Gaussian when using the traditional coherence calculation. However, the coherence based on FLOS largely reduces this bias. From the experimental results using the InSAR data, we found that this method reduces the artifacts in the traditional coherence calculation method. The removal of bias due to sample estimation is also discussed. © 2006 IEEE.

Wei M.,Intermap Technologies
International Association of Geodesy Symposia | Year: 2012

The airborne gravimetry system provides an efficient tool to collect the homogeneous airborne gravity data over large areas. For this purpose Intermap has developed a new Airborne Inertial Gravimetry System (AIGS), based on the GPS/INS components of Intermap's Interferometric SAR (IFSAR) system and the airborne gravity process software, called StarGrav. The state-of-the art in the acquisition of airborne gravity data at Intermap will be discussed and the process in gravity determination will be described. The paper presents recent airborne gravity results for different topography and scenarios. The airborne gravity measurements by Intermap's StarGrav system are compared to the upward continued ground gravity data and to the independent airborne gravity results provided by NGS. The results demonstrate that the accuracy of 2-3 mGal (1σ) for the airborne gravity measurements by Intermap airborne gravity mapping system can be achieved. The geoid determined using the airborne gravity data could have the relative accuracy of 5 cm (1σ) when compared with an independently determined geoid reference. © Springer-Verlag Berlin Heidelberg 2012.

Bian Y.,University of Calgary | Mercer B.,University of Calgary | Mercer B.,Intermap Technologies
IEEE Transactions on Geoscience and Remote Sensing | Year: 2011

In this paper, two interferometric SAR (InSAR) phase-filtering methods are proposed. These methods are performed in the wavelet domain and employ the simultaneous detection and estimation technique. In the wavelet domain, closed-form estimator and detector equations are derived, based upon a quadratic cost function, to minimize the combined risk of detection and estimation and, thus, the least square errors. Both methods occur within the wavelet domain; however, the first method employs the wavelet packet, while the second method is performed in the undecimated wavelet domain. A major characteristic of InSAR phase data is that the noise level is spatially variable, and the proposed methods have a particularly good comparative performance in these situations. Tests are performed using simulated phase data and show that the proposed methods have lower root-mean-square error and less noisy fringes in the filtering results than those of three existing "state-of-the-art" wavelet-domain phase-filtering methods. Tests using real InSAR data also demonstrate the superiority of the proposed methods in terms of visual and quantitative evaluation. © 2006 IEEE.

Intermap Technologies | Date: 2015-08-13

Implementations described and claimed herein provide systems and methods for flood hazard zone modeling. In one implementation, one or more relevant stream segments are identified from an input stream network. One or more cross profiles are defined for one or more selected points on the relevant stream segments, with the selected points located within a flood hazard area. A high resolution flood level elevation map is generated by interpolating flood level elevation from the selected points. A flood depth map is generated having a flood depth value for each of the selected points computed as a difference between the high resolution flood level elevation map and a terrain elevation. One or more flood zones are defined in the flood depth map. The flood zones have a positive flood depth for a return period.

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