A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images
文献类型：SCI/SSCI论文
| 作者 | Jiang H.; Lu, N.; Yao, L. |
| 发表日期 | 2016 |
| 关键词 | haze removal HOT transform BSHTI homomorphic filter percentile DOS satellite imagery atmospheric correction cloud cover landsat-tm classification quality |
| 英文摘要 | Spatially varying haze is a common feature of most satellite images currently used for land cover classification and mapping and can significantly affect image quality. In this paper, we present a high-fidelity haze removal method based on Haze Optimized Transformation (HOT), comprising of three steps: semi-automatic HOT transform, HOT perfection and percentile based dark object subtraction (DOS). Since digital numbers (DNs) of band red and blue are highly correlated in clear sky, the R-squared criterion is utilized to search the relative clearest regions of the whole scene automatically. After HOT transform, spurious HOT responses are first masked out and filled by means of four-direction scan and dynamic interpolation, and then homomorphic filter is performed to compensate for loss of HOT of masked-out regions with large areas. To avoid patches and halo artifacts, a procedure called percentile DOS is implemented to eliminate the influence of haze. Scenes including various land cover types are selected to validate the proposed method, and a comparison analysis with HOT and Background Suppressed Haze Thickness Index (BSHTI) is performed. Three quality assessment indicators are selected to evaluate the haze removed effect on image quality from different perspective and band profiles are utilized to analyze the spectral consistency. Experiment results verify the effectiveness of the proposed method for haze removal and the superiority of it in preserving the natural color of object itself, enhancing local contrast, and maintaining structural information of original image. |
| 出处 | Remote Sensing |
| 卷 | 8 |
| 期 | 10 |
| 语种 | 英语 |
| ISSN号 | 2072-4292 |
| DOI标识 | 10.3390/rs8100844 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/43004]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Jiang H.,Lu, N.,Yao, L.. A High-Fidelity Haze Removal Method Based on HOT for Visible Remote Sensing Images. 2016. |
入库方式： OAI收割
来源：地理科学与资源研究所
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