| Title | Quantitative assessment of a haze suppression methodology for satellite imagery: effect on land cover classification performance |
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| Author | Zhang, Y; Guindon, B |
| Source | IEEE Transactions on Geoscience and Remote Sensing (Institute of Electrical and Electronics Engineers) 41, 5, 2003 p. 1082-1089, https://doi.org/10.1109/tgrs.2003.811817 |
| Year | 2003 |
| Alt Series | Earth Sciences Sector, Contribution Series 20043248 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Document | serial |
| Lang. | English |
| Media | paper; on-line; digital |
| File format | pdf |
| Released | 2003 05 01 |
| Abstract | A number of haze removal methods for satellite imagery have been described in the literature, but few papers have quantified their effectiveness within the context of a postprocessing applications
scenario. The haze optimized transform (HOT) approach for visible-band correction is described, and its impact on classification performance is evaluated. Assessment is conducted at three levels: radiometric level of accuracy, improvement in
interclass separability, and classification accuracy. Results obtained from hazy scenes and their dehazed counterparts are compared with those from reference or "benchmark" clear scenes. Radiometric analyses of pseudoinvariant features (dense forest
stands) indicate that effective haze reduction can be realized for differential HOT response levels of up to 20 for Landsat Thematic Mapper scenes. This level of atmospheric contamination is severe enough to result in significant thematic class
confusion, wherein visible-band radiances of vegetated areas are at levels normally associated with urban features under clear sky conditions. |
| GEOSCAN ID | 220050 |
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