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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Accuracy Assessment Of Measuring Linear And Areal Features In Aerial Imagery, I-Kuai Hung, David L. Kulhavy, Daniel R. Unger, Reid A. Viegut, Yanli Zhang, Nicholas C. Schiwitz
Accuracy Assessment Of Measuring Linear And Areal Features In Aerial Imagery, I-Kuai Hung, David L. Kulhavy, Daniel R. Unger, Reid A. Viegut, Yanli Zhang, Nicholas C. Schiwitz
International Journal of Geospatial and Environmental Research
As part of natural resource education in the Arthur Temple College of Forestry and Agriculture at Stephen F. Austin State University (SFASU), students were instructed to take areal and linear measurements of grounds remotely using available platforms including aerial orthomosaic derived from UAS (unmanned aerial system) acquired imagery, Google Earth Pro, and Pictometry. The onscreen measurement was conducted at five different map scales, 1/1000, 1/2000, 1/3000, 1/4000, and 1/5000. Accuracy of the measurements was assessed by comparing the onscreen measurements to ground truth data verified with a measuring tape. Results show that measurements based on the UAS were more accurate …
Exploring The Potential Of Feature Selection Methods In The Classification Of Urban Trees Using Field Spectroscopy Data, Simbarashe Jombo, Elhadi Adam, Marcus J. Byrne, Khalid Adem Ali, Solomon W Newete
Exploring The Potential Of Feature Selection Methods In The Classification Of Urban Trees Using Field Spectroscopy Data, Simbarashe Jombo, Elhadi Adam, Marcus J. Byrne, Khalid Adem Ali, Solomon W Newete
International Journal of Geospatial and Environmental Research
Mapping of vegetation at the species level using hyperspectral satellite data can be effective and accurate because of its high spectral and spatial resolutions that can detect detailed information of a target object. Its wide application, however, not only is restricted by its high cost and large data storage requirements, but its processing is also complicated by challenges of what is known as the Hughes effect. The Hughes effect is where classification accuracy decreases once the number of features or wavelengths passes a certain limit. This study aimed to explore the potential of feature selection methods in the classification of …