Ting Lei

Journal Articles

[1]
Z. Lei, T. Fang, H. Huo, and D. Li, “Bi-temporal texton forest for land cover transition detection on remotely sensed imagery,” IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 2, pp. 1227–1237, 2014.
[2]
T. L. Lei and R. L. Church, “Vector assignment ordered median problem: A unified median problem,” International Regional Science Review, vol. 37, no. 2, pp. 194–224, 2014.
[3]
T. L. Lei and R. L. Church, “Mapping transit-based access: Integrating GIS, routes and schedules,” International Journal of Geographical Information Science, vol. 24, no. 2, pp. 283–304, 2010.
[4]
Y. Chen, S. Ravulaparthy, K. Deutsch, P. Dalal, S. Y. Yoon, T. Lei, K. G. Goulias, R. M. Pendyala, C. R. Bhat, and H.-H. Hu, “Development of indicators of opportunity-based accessibility,” Transportation Research Record, vol. 2255, no. 1, pp. 58–68, 2011.
[5]
T. L. Lei, Y. Chen, and K. G. Goulias, “Opportunity-based dynamic transit accessibility in southern california: Measurement, findings, and comparison with automobile accessibility,” Transportation Research Record, vol. 2276, no. 1, pp. 26–37, 2012.
[6]
T. L. Lei, “Identifying critical facilities in hub-and-spoke networks: A hub interdiction median problem,” Geographical Analysis, vol. 45, no. 2, pp. 105–122, 2013.
[7]
T. L. Lei and R. L. Church, “Constructs for multilevel closest assignment in location modeling,” International Regional Science Review, vol. 34, no. 3, pp. 339–367, 2011.
[8]
T. L. Lei and R. L. Church, “Locating short-term empty-container storage facilities to support port operations: A user optimal approach,” Transportation Research Part E: Logistics and Transportation Review, vol. 47, no. 5, pp. 738–754, 2011.
[9]
T. L. Lei and D. Tong, “Hedging against service disruptions: An expected median location problem with site-dependent failure probabilities,” Journal of Geographical Systems, vol. 15, pp. 491–512, 2013.
[10]
T. L. Lei and R. L. Church, “A unified model for dispersing facilities,” Geographical Analysis, vol. 45, no. 4, pp. 401–418, 2013.
[11]
P. Gao, J. A. Kupfer, D. Guo, and T. L. Lei, “Identifying functionally connected habitat compartments with a novel regionalization technique,” Landscape Ecology, vol. 28, pp. 1949–1959, 2013.
[12]
T. L. Lei and R. L. Church, “On the finite optimality set of the vector assignment p-median problem,” Geographical Analysis, vol. 47, no. 2, pp. 134–145, 2015.
[13]
Z. Lei, M. Wang, D. Li, and T. L. Lei, “Stream model-based orthorectification in a GPU cluster environment,” IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 12, pp. 2115–2119, 2014.
[14]
T. L. Lei, D. Tong, and R. L. Church, “Designing robust coverage systems: A maximal covering model with geographically varying failure probabilities,” Annals of the Association of American Geographers, vol. 104, no. 5, pp. 922–938, 2014.
[15]
T. L. Lei and R. L. Church, “On the unified dispersion problem: Efficient formulations and exact algorithms,” European Journal of Operational Research, vol. 241, no. 3, pp. 622–630, 2015.
[16]
M. Song, W. Li, B. Zhou, and T. Lei, “Spatiotemporal data representation and its effect on the performance of spatial analysis in a cyberinfrastructure environment–a case study with raster zonal analysis,” Computers & Geosciences, vol. 87, pp. 11–21, 2016.
[17]
T. L. Lei, R. L. Church, and Z. Lei, “A unified approach for location-allocation analysis: Integrating GIS, distributed computing and spatial optimization,” International Journal of Geographical Information Science, vol. 30, no. 3, pp. 515–534, 2016.
[18]
Z. Lei, M. Wang, T. Lei, and D. Li, “Tracking moving weak objects in celestial image sequences,” IEEE Transactions on Aerospace and Electronic Systems, vol. 52, no. 3, pp. 1257–1266, 2016.
[19]
T. L. Lei, “Designing reliable center systems: A vector assignment center location problem,” Geographical Analysis, vol. 48, no. 4, pp. 411–426, 2016.
[20]
D. A. Plane, D. Tong, and T. Lei, “Inter-person separation: A new objective standard for evaluating the spatial fairness of political redistricting plans,” Geographical Analysis, vol. 51, no. 3, pp. 251–279, 2019.
[21]
T. L. Lei, “Evaluating the vulnerability of time-sensitive transportation networks: A hub center interdiction problem,” Sustainability, vol. 11, no. 17, p. 4614, 2019.
[22]
T. Lei and Z. Lei, “Optimal spatial data matching for conflation: A network flow-based approach,” Transactions in GIS, vol. 23, no. 5, pp. 1152–1176, 2019.
[23]
T. L. Lei, “Geospatial data conflation: A formal approach based on optimization and relational databases,” International Journal of Geographical Information Science, vol. 34, no. 11, pp. 2296–2334, 2020.
[24]
T. L. Lei, “Large scale geospatial data conflation: A feature matching framework based on optimization and divide-and-conquer,” Computers, Environment and Urban Systems, vol. 87, p. 101618, 2021.
[25]
T. L. Lei and R. Wang, “Conflating linear features using turning function distance: A new orientation-sensitive similarity measure,” Transactions in GIS, vol. 25, no. 3, pp. 1249–1276, 2021.
[26]
T. L. Lei, “Integrating GIS and location modeling: A relational approach,” Transactions in GIS, vol. 25, no. 4, pp. 1693–1715, 2021.
[27]
P. Gao, A. J. Terando, J. A. Kupfer, J. M. Varner, M. C. Stambaugh, T. L. Lei, and J. K. Hiers, “Robust projections of future fire probability for the conterminous united states,” Science of the Total Environment, vol. 789, p. 147872, 2021.
[28]
T. L. Lei and Z. Lei, “Harmonizing full and partial matching in geospatial conflation: A unified optimization model,” ISPRS International Journal of Geo-Information, vol. 11, no. 7, p. 375, 2022.
[29]
T. L. Lei and Z. Lei, “Linear feature conflation: An optimization-based matching model with connectivity constraints,” Transactions in GIS, vol. 27, no. 4, pp. 1205–1227, 2023.
[30]
Z. Lei and T. L. Lei, “Towards topological geospatial conflation: An optimized node-arc conflation model for road networks,” ISPRS International Journal of Geo-Information, vol. 13, no. 1, p. 15, 2023.
[31]
Z. Lei, Z. Yuan, and T. L. Lei, “On the theoretical link between optimized geospatial conflation models for linear features,” ISPRS International Journal of Geo-Information, vol. 13, no. 9, p. 310, 2024.
[32]
Z. Lei and T. L. Lei, “Large-scale integration of remotely sensed and GIS road networks: A full image-vector conflation approach based on optimization and deep learning,” Computers, Environment and Urban Systems, vol. 113, p. 102174, 2024.

Reports and Book Chapters

[1]
T. L. Lei, “AM-71-geospatial data conflation,” vol. forthcoming. 2019.
[2]
T. L. Lei, “Location modeling utilizing closest and generalized closest transport/interaction assignment constructs,” PhD Dissertation, 2010.
[3]
R. L. Church, V. Noronha, T. Lei, W. Corrigan, S. Burbidge, and J. Marston, “Spatial and temporal utility modeling to increase transit ridership,” 2005.

Conference Proceedings

[1]
T. L. Lei, X. Liang, G. Mascaro, W. Luo, D. White, P. Westerhoff, and R. Maciejewski, “An interactive web-based geovisual analytics tool to explore water scarcity in niger river basin.” in EnvirVis@ EuroVis, 2015, pp. 55–59.
[2]
Z. Lei, X. Chen, and T. Lei, “Sub-pixel location of motion blurred weak celestial objects in optical sensor image based on elliptical 2d gaussian surface fitting,” in 2016 international conference on industrial informatics-computing technology, intelligent technology, industrial information integration (ICIICII), 2016, pp. 100–104.
[3]
W. Wang, Z. Lei, and T. L. Lei, “Road segmentation for remote sensing images based on global feature attention ResUnet,” in 2023 china automation congress (CAC), 2023, pp. 4650–4655.
[4]
T. Lei, “The expression of road networks for vehicle navigation,” INTERNATIONAL ARCHIVES OF PHOTOGRAMMETRY AND REMOTE SENSING, vol. 33, no. B4/2; PART 4, pp. 567–571, 2000.

Conference Presentations

Optimization-based Matching Strategy of Geospatial Data Conflation. Presented at the Annual Conference of NCASPRS (the North Carolina Chapter of the American Society of Photogrammetry and Remote Sensing, virtual).

Geospatial Data Matching. Presented at the Annual Applied Geography Conference of AAG (Association of American Geographers, virtual).

Spatial Data Matching. Presented at the Annual Conference of ASPRS (the Imaging & Geospatial Information Society, virtual).

and Analysis: Property Value Change in Johnson County, KS 2012-2015. Presented at the Annual Meetings of Association of American Geographers, Boston, MA.

the Niger River Basin. Presented at the Annual Meetings of Association of American Geographers, Chicago, IL.

Center Problem, presented at the Annual meetings of Association of American Geographers, Tampa, FL, April 2014.

merging the vector assignment and the ordered median problems, presented at Western Regional Science Association, Kauai, HI February 2012.

Konduri, T. Lei, D. Tang, S.Y. Yoon, G. Huang, and H. Hu, Simulator of Activities, Greenhouse Emissions, Networks, and Travel (SimAGENT) in Southern California, Paper presented at the 91st Annual Transportation Research Board Meeting, Washington D.C., January 23-27, 2011

system, Presented at the INFORMS Annual Meeting at Austin, Texas, Nov 2010.

case study of the Los Angeles basin, Presented at the 3rd National Urban Freight Conference at Long beach, Oct. 2009

Presented at the AAG annual conference at Las Vegas, March 2009.

in Location Modeling, 2009 INFORMS annual conference at San Diego, Nov 2009

location models, Presented at the 56th Annual North American Meetings of the Regional Science Association at San Francisco, Nov 2009

location model for away-from-port container storage yards, Presented at the 2008 NARSC Conference, Brooklyn, NY, Nov. 2008.