Year |
Citation |
Score |
2020 |
Kucharczyk M, Hay GJ, Ghaffarian S, Hugenholtz CH. Geographic Object-Based Image Analysis: A Primer and Future Directions Remote Sensing. 12: 2012. DOI: 10.3390/Rs12122012 |
0.449 |
|
2019 |
Lang S, Hay GJ, Baraldi A, Tiede D, Blaschke T. GEOBIA Achievements and Spatial Opportunities in the Era of Big Earth Observation Data Isprs International Journal of Geo-Information. 8: 474. DOI: 10.3390/Ijgi8110474 |
0.489 |
|
2018 |
Griffith DC, Hay GJ. Integrating GEOBIA, Machine Learning, and Volunteered Geographic Information to Map Vegetation over Rooftops Isprs International Journal of Geo-Information. 7: 462. DOI: 10.3390/Ijgi7120462 |
0.476 |
|
2018 |
Chen G, Weng Q, Hay GJ, He Y. Geographic object-based image analysis (GEOBIA): emerging trends and future opportunities Giscience & Remote Sensing. 55: 159-182. DOI: 10.1080/15481603.2018.1426092 |
0.476 |
|
2015 |
Rahman MM, Hay GJ, Couloigner I, Hemachandran B, Bailin J. A comparison of four relative radiometric normalization (RRN) techniques for mosaicing H-res multi-temporal thermal infrared (TIR) flight-lines of a complex urban scene Isprs Journal of Photogrammetry and Remote Sensing. 106: 82-94. DOI: 10.1016/J.Isprsjprs.2015.05.002 |
0.652 |
|
2014 |
Blaschke T, Hay GJ, Kelly M, Lang S, Hofmann P, Addink E, Queiroz Feitosa R, van der Meer F, van der Werff H, van Coillie F, Tiede D. Geographic Object-Based Image Analysis - Towards a new paradigm. Isprs Journal of Photogrammetry and Remote Sensing : Official Publication of the International Society For Photogrammetry and Remote Sensing (Isprs). 87: 180-191. PMID 24623958 DOI: 10.1016/J.Isprsjprs.2013.09.014 |
0.49 |
|
2014 |
Rahman MM, Hay GJ, Couloigner I, Hemachandran B, Bailin J. An assessment of polynomial regression techniques for the relative radiometric normalization (RRN) of high-resolution multi-temporal sinfrared (TIR) imagery Remote Sensing. 6: 11810-11828. DOI: 10.3390/Rs61211810 |
0.623 |
|
2014 |
Abdulkarim B, Kamberov R, Hay GJ. Supporting Urban Energy Efficiency with Volunteered Roof Information and the Google Maps API Remote Sensing. 6: 9691-9711. DOI: 10.3390/Rs6109691 |
0.456 |
|
2014 |
Rahman MM, Hay GJ, Couloigner I, Hemachandran B. Transforming Image-Objects into Multiscale Fields: A GEOBIA Approach to Mitigate Urban Microclimatic Variability within H-Res Thermal Infrared Airborne Flight-Lines Remote Sensing. 6: 9435-9457. DOI: 10.3390/Rs6109435 |
0.647 |
|
2013 |
Rahman MM, Hay GJ, Couloigner I, Hemachandran B, Bailin J, Zhang Y, Tam A. Geographic Object-Based Mosaicing (OBM) of high-resolution thermal airborne imagery (TABI-1800) to improve the interpretation of urban image objects Ieee Geoscience and Remote Sensing Letters. 10: 918-922. DOI: 10.1109/Lgrs.2013.2243815 |
0.645 |
|
2012 |
Chen G, Hay GJ, Carvalho LMT, Wulder MA. Object-based change detection International Journal of Remote Sensing. 33: 4434-4457. DOI: 10.1080/01431161.2011.648285 |
0.451 |
|
2012 |
Chen G, Zhao K, McDermid GJ, Hay GJ. The influence of sampling density on geographically weighted regression: a case study using forest canopy height and optical data International Journal of Remote Sensing. 33: 2909-2924. DOI: 10.1080/01431161.2011.624130 |
0.415 |
|
2012 |
Powers RP, Hay GJ, Chen G. How wetland type and area differ through scale: A GEOBIA case study in Alberta's Boreal Plains Remote Sensing of Environment. 117: 135-145. DOI: 10.1016/J.Rse.2011.07.009 |
0.45 |
|
2012 |
Chen G, Hay GJ, St-Onge B. A GEOBIA framework to estimate forest parameters from lidar transects, Quickbird imagery and machine learning: A case study in Quebec, Canada International Journal of Applied Earth Observation and Geoinformation. 15: 28-37. DOI: 10.1016/J.Jag.2011.05.010 |
0.436 |
|
2011 |
Blaschke T, Hay GJ, Weng Q, Resch B. Collective sensing: Integrating geospatial technologies to understand urban systems-An overview Remote Sensing. 3: 1743-1776. DOI: 10.3390/Rs3081743 |
0.386 |
|
2011 |
Hay GJ, Kyle C, Hemachandran B, Chen G, Rahman MM, Fung TS, Arvai JL. Geospatial Technologies to Improve Urban Energy Efficiency Remote Sensing. 3: 1380-1405. DOI: 10.3390/Rs3071380 |
0.588 |
|
2011 |
Chen G, Hay GJ. A Support Vector Regression Approach to Estimate Forest Biophysical Parameters at the Object Level Using Airborne Lidar Transects and QuickBird Data Photogrammetric Engineering and Remote Sensing. 77: 733-741. DOI: 10.14358/Pers.77.7.733 |
0.417 |
|
2011 |
Chen G, Hay GJ, Castilla G, St-Onge B, Powers R. A multiscale geographic object-based image analysis to estimate lidar-measured forest canopy height using Quickbird imagery International Journal of Geographical Information Science. 25: 877-893. DOI: 10.1080/13658816.2010.496729 |
0.506 |
|
2011 |
Chen G, Hay GJ. An airborne lidar sampling strategy to model forest canopy height from Quickbird imagery and GEOBIA Remote Sensing of Environment. 115: 1532-1542. DOI: 10.1016/J.Rse.2011.02.012 |
0.428 |
|
2009 |
Castilla G, Guthrie RH, Hay GJ. The Land-cover Change Mapper (LCM) and its application to timber harvest monitoring in Western Canada. Photogrammetric Engineering and Remote Sensing. 75: 941-950. DOI: 10.14358/Pers.75.8.941 |
0.419 |
|
2009 |
Steiniger S, Hay GJ. Free and open source geographic information tools for landscape ecology Ecological Informatics. 4: 183-195. DOI: 10.1016/J.Ecoinf.2009.07.004 |
0.339 |
|
2009 |
Ben-Arie JR, Hay GJ, Powers RP, Castilla G, St-Onge B. Development of a pit filling algorithm for LiDAR canopy height models Computers and Geosciences. 35: 1940-1949. DOI: 10.1016/J.Cageo.2009.02.003 |
0.326 |
|
2009 |
Castilla G, Larkin K, Linke J, Hay GJ. The impact of thematic resolution on the patch-mosaic model of natural landscapes Landscape Ecology. 24: 15-23. DOI: 10.1007/S10980-008-9310-Z |
0.4 |
|
2008 |
Wulder MA, White JC, Hay GJ, Castilla G. Towards automated segmentation of forest inventory polygons on high spatial resolution satellite imagery Forestry Chronicle. 84: 221-230. DOI: 10.5558/Tfc84221-2 |
0.41 |
|
2008 |
Castilla G, Hay GJ, Ruiz-Gallardo JR. Size-constrained Region Merging (SCRM): An Automated Delineation Tool for Assisted Photointerpretation Photogrammetric Engineering and Remote Sensing. 74: 409-419. DOI: 10.14358/Pers.74.4.409 |
0.422 |
|
2006 |
Castilla G, Hay GJ. Uncertainties in land use data Hydrology and Earth System Sciences. 11: 1857-1868. DOI: 10.5194/Hess-11-1857-2007 |
0.352 |
|
2005 |
Hay GJ, Castilla G, Wulder MA, Ruiz JR. An automated object-based approach for the multiscale image segmentation of forest scenes International Journal of Applied Earth Observation and Geoinformation. 7: 339-359. DOI: 10.1016/J.Jag.2005.06.005 |
0.488 |
|
2004 |
Stewart SA, Hay GJ, Rosin PL, Wynn TJ. Multiscale structure in sedimentary basins Basin Research. 16: 183-197. DOI: 10.1111/J.1365-2117.2004.00228.X |
0.335 |
|
2004 |
Hall O, Hay GJ, Bouchard A, Marceau DJ. Detecting dominant landscape objects through multiple scales: An integration of object-specific methods and watershed segmentation Landscape Ecology. 19: 59-76. DOI: 10.1023/B:Land.0000018371.43447.1F |
0.49 |
|
2003 |
Hay GJ, Blaschke T, Marceau DJ, Bouchard A. A comparison of three image-object methods for the multiscale analysis of landscape structure Isprs Journal of Photogrammetry and Remote Sensing. 57: 327-345. DOI: 10.1016/S0924-2716(02)00162-4 |
0.521 |
|
2003 |
Hall O, Hay GJ. A Multiscale Object-Specific Approach to Digital Change Detection International Journal of Applied Earth Observation and Geoinformation. 4: 311-327. DOI: 10.1016/S0303-2434(03)00010-2 |
0.471 |
|
2002 |
Hay GJ, Dubé P, Bouchard A, Marceau DJ. A scale-space primer for exploring and quantifying complex landscapes Ecological Modelling. 153: 27-49. DOI: 10.1016/S0304-3800(01)00500-2 |
0.358 |
|
2001 |
Hay GJ, Marceau DJ, Dubé P, Bouchard A. A multiscale framework for landscape analysis: Object-specific analysis and upscaling Landscape Ecology. 16: 471-490. DOI: 10.1023/A:1013101931793 |
0.452 |
|
1997 |
Hay GJ, Niernann KO, Goodenough DG. Spatial thresholds, image-objects, and upscaling: A multiscale evaluation Remote Sensing of Environment. 62: 1-19. DOI: 10.1016/S0034-4257(97)81622-7 |
0.498 |
|
1996 |
Hay GJ, Niemann KO, McLean GF. An object-specific image-texture analysis of H-resolution forest imagery☆ Remote Sensing of Environment. 55: 108-122. DOI: 10.1016/0034-4257(95)00189-1 |
0.51 |
|
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