Brian A. Johnson - researchr alias

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Viewing Publication 1 - 7 from 7

2018

Identifying Generalizable Image Segmentation Parameters for Urban Land Cover Mapping through Meta-Analysis and Regression Tree ModelingBrian A. Johnson, Shahab E. Jozdani. remotesensing, 10(1):73, 2018. [doi]

Mapping the Individual Trees in Urban Orchards by Incorporating Volunteered Geographic Information and Very High Resolution Optical Remotely Sensed Data: A Template Matching-Based ApproachHossein Vahidi, Brian Klinkenberg, Brian A. Johnson, L. Monika Moskal, Wanglin Yan. remotesensing, 10(7):1134, 2018. [doi]

2015

Scale Issues Related to the Accuracy Assessment of Land Use/Land Cover Maps Produced Using Multi-Resolution Data: Comments on "The Improvement of Land Cover Classification by Thermal Remote Sensing". Remote Sensing 2015, 7(7), 8368-8390Brian A. Johnson. remotesensing, 7(10):13436-13439, 2015. [doi]

Image Segmentation Parameter Optimization Considering Within- and Between-Segment Heterogeneity at Multiple Scale Levels: Test Case for Mapping Residential Areas Using Landsat ImageryBrian A. Johnson, Milben Bragais, Isao Endo, Damasa B. Magcale-Macandog, Paula Beatrice M. Macandog. ijgi, 4(4):2292-2305, 2015. [doi]

2014

An ensemble pansharpening approach for finer-scale mapping of sugarcane with Landsat 8 imageryBrian A. Johnson, Henry Scheyvens, Binaya R. Shivakoti. aeog, 33:218-225, 2014. [doi]

2012

Mapping urban land cover using multi-scale and spatial autocorrelation information in high resolution imageryBrian A. Johnson. PhD thesis, Florida Atlantic University, Boca Raton, FL, USA, 2012. [doi]

1989

Modular Exponentiation Using Recursive Sums of ResiduesPaul A. Findlay, Brian A. Johnson. crypto 1990: 371-386 [doi]

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