| Title | Validation of the Sentinel Simplified Level 2 Product Prototype Processor (SL2P) for mapping cropland biophysical variables using Sentinel-2/MSI and Landsat-8/OLI data |
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| Author | Djamai, N ;
Fernandes, R; Weiss, M; McNairn, H; Goïta, K |
| Source | Remote Sensing of Environment vol. 225, 2019 p. 416-430, https://doi.org/10.1016/j.rse.2019.03.020 |
| Image |  |
| Year | 2019 |
| Alt Series | Natural Resources Canada, Contribution Series 20190633 |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Subjects | geophysics; remote sensing; Landsat |
| Program | Canada Centre for Remote Sensing Divsion |
| Released | 2019 03 30 |
| Abstract | Road 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. |
| GEOSCAN ID | 321962 |
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