@article{karimi_khattak_hummer_2000, title={Evaluation of mobile mapping systems for roadway data collection}, volume={14}, DOI={10.1061/(ASCE)0887-3801(2000)14:3(168)}, abstractNote={Mobile mapping systems (MMSs) are based on advanced technologies for automatically collecting roadway inventory data. A host of advanced technologies, such as the Global Positioning System for collecting georeferencing data and digital cameras for collecting roadway data, are used in current MMSs. An MMS is driven on a subject roadway, collecting positional data and digital images of the roadway. Through photogrammetric software packages, roadway data are extracted from images. Although there have been studies evaluating the accuracy of positional data collected by MMSs, there have been limited studies of the descriptive data accuracy they provide. In this paper the results of an evaluation of the accuracy of descriptive inventory data collected by three different MMSs are discussed. Each system was tested in three different roadway environments, and five different types of inventory elements were included in each test. The accuracy of collected data was compared with ground truth data. Analysis of these data indicated that the roadway environment and the type of inventory element affect the accuracy of descriptive inventory data collected by MMSs.}, number={3}, journal={Journal of Computing in Civil Engineering}, author={Karimi, H. A. and Khattak, A. J. and Hummer, J. E.}, year={2000}, pages={168–173} }
 @article{dai_karimi_khorram_khattak_hummer_1999, title={Roadway feature extraction and delineation fron high-resolution satellite imagery}, number={1999 May}, journal={EOM}, author={Dai, X. L. and Karimi, H. A. and Khorram, S. and Khattak, A. J. and Hummer, J. E.}, year={1999}, pages={34–37} }
 @article{karimi_dai_khattak_khorram_hummer_1999, title={Techniques for automated extraction of roadway inventory features from high-resolution satellite imagery}, volume={14}, DOI={10.1080/10106049908542099}, abstractNote={Abstract The emergence of high‐resolution satellite imagery is attracting new applications which can take advantage of remotely sensed data for mapping, inventory, and change detection. Automated collection of roadway inventory features is one such application. To this end, it is important to investigate the performance of conventional feature extraction techniques when applied to high‐resolution images and to develop new techniques for extraction of roadway features using one‐meter, or higher, resolution imagery. In this paper, classification‐ based and edge detection‐based techniques potential for automated extraction of roadway features from high‐resolution satellite imagery are described, tested, and evaluated. Of possible techniques, the applicability of conventional classification algorithms, the Thin and Robust Zero‐Crossing edge detector based on the Laplacian of Gaussian operator, and seeded region growing segmentation is investigated. The advantages and disadvantages of each technique for extrac...}, number={2}, journal={Geocarto International}, author={Karimi, H. A. and Dai, X. L. and Khattak, A. J. and Khorram, S. and Hummer, J. E.}, year={1999}, pages={5–16} }
 @article{khattak_karimi_dai_hummer_1998, title={High-resolution satellite imagery aids roadway data collection}, number={1998 Nov.}, journal={Public Works}, author={Khattak, A. J. and Karimi, H. A. and Dai, X. L. and Hummer, J. E.}, year={1998}, pages={28–30} }
 @article{karimi_dai_khatak_hummer_1998, title={The emergence of high-resolution satellite digital imagery for acquisition roadway inventory features}, volume={3}, number={1}, journal={Space Energy and Transportation}, author={Karimi, H. A. and Dai, X. L. and Khatak, A. J. and Hummer, J. E.}, year={1998}, pages={19–26} }
 @inbook{karimi_hummer_1997, title={Collection and presentation of roadway inventory data}, booktitle={Interim Report, National Cooperative Highway Research Program Project 1515, Transportation Research Board, Washington, DC, May 1997}, publisher={Washington, DC: Transportation Research Board}, author={Karimi, H. A. and Hummer, J. E.}, year={1997} }