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TitleValidation of the Sentinel Simplified Level 2 Product Prototype Processor (SL2P) for mapping cropland biophysical variables using Sentinel-2/MSI and Landsat-8/OLI data
AuthorDjamai, NORCID logo; Fernandes, RORCID logo; Weiss, M; McNairn, H; Goïta, K
SourceRemote Sensing of Environment vol. 225, 2019 p. 416-430,
Alt SeriesNatural Resources Canada, Contribution Series 20190633
Mediapaper; on-line; digital
File formatpdf
Subjectsgeophysics; remote sensing; Landsat
ProgramCanada Centre for Remote Sensing Divsion
Released2019 03 30
AbstractRoad intersections are very good ground control points in a SAR image because they can be obtained from intersecting road segments even when the intersections themselves are not observed. In a previous study, a Hough Transform-based approach was developed for detecting intersections from a single-look ERS-1 SAR image. A similar Hough Transform-based approach has been applied to detect road intersections in a 6-look ERS-1 SAR image. In the case of multi-look images, however, there are no pure road pixels because roads are thinner than the resolution size and the pixels that include road information are greatly affected by surrounding objects. More spatial information and even approximate road map information are required to improve the capability to detect road intersections. It is found that broad intersections can be automatically determined from a multi-look image and the accuracy of the location of road intersections may be estimated from the heights of sharp peaks in Hough space.

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