Improving remote sensing dehazing quality through local hybrid correction and optimization of atmospheric attenuation model based on wavelength DOI Creative Commons

Dong-mei Zhao,

Shi Kun,

Zheng Li

и другие.

Frontiers in Remote Sensing, Год журнала: 2025, Номер 5

Опубликована: Янв. 30, 2025

Near-ground remote sensing image dehazing is crucial for accurately monitoring land resources. An effective technique and a precise atmospheric attenuation model are fundamental to acquiring real-time ground data with high fidelity. The dark channel prior (DCP) widely used method improving visibility in hazy conditions, but it often results reduced clarity artifacts, that limit its practical utility. To address these limitations, we propose novel hybrid correction method, local (LHC), which integrates gamma high-contrast regions logarithmic low-contrast within dehazed image. We calculated the cumulative distribution function (CDF) of Weber contrast analyzed impact different thresholds on effectiveness reducing artifacts. Our showed threshold corresponding 90% CDF significantly improved sharpness artifacts compared other thresholds. Furthermore, LHC outperformed both corrections terms artifact reduction, even after applying additional post-processing methods such as multi-exposure fusion guided filtering. quantitative analysis images, using gray-level co-occurrence matrix (GLCM) metrics, indicated offered balanced advantage enhancing details, texture consistency, structural complexity. Specifically, images processed by exhibit moderate correlation, low homogeneity entropy, all made very suitable solution near-ground tasks required enhanced detail also examined coefficient, observing increased distance, deviating progressively from empirical values, this phenomenon underscored complex effects scattering accuracy, especially at extended ranges. Additionally, refined transmittance light reflection 550 nm wavelength verdant landscapes, model’s alignment real-world conditions. This approach was not only could adapt wavelengths future studies. Overall, our research advanced precision techniques, promising decision-making resource management variety environmental applications.

Язык: Английский

Aerosol Effects on the Atmosphere: Types, Mechanisms and Future Perspectives DOI Creative Commons
Y. Wang

E3S Web of Conferences, Год журнала: 2025, Номер 606, С. 03006 - 03006

Опубликована: Янв. 1, 2025

Aerosols, composed of solid or liquid particles suspended in the atmosphere, with complex sources and mechanisms action, are widely present both natural environments human activities. Aerosols directly affect Earth’s energy balance by scattering absorbing solar radiation indirectly climate precipitation patterns acting as cloud condensation nuclei, altering formation microphysical properties. This paper discussed different types aerosols, including natural, anthropogenic, hybrid analyzed their physical chemical also direct indirect effects aerosols atmosphere explored future research directions, technological innovations, interdisciplinary collaborations international policy drivers. Future on an important factor change will contribute to a better understanding its complexity strategies address global change.

Язык: Английский

Процитировано

0
Improving remote sensing dehazing quality through local hybrid correction and optimization of atmospheric attenuation model based on wavelength DOI Creative Commons

Dong-mei Zhao,

Shi Kun,

Zheng Li

и другие.

Frontiers in Remote Sensing, Год журнала: 2025, Номер 5

Опубликована: Янв. 30, 2025

Near-ground remote sensing image dehazing is crucial for accurately monitoring land resources. An effective technique and a precise atmospheric attenuation model are fundamental to acquiring real-time ground data with high fidelity. The dark channel prior (DCP) widely used method improving visibility in hazy conditions, but it often results reduced clarity artifacts, that limit its practical utility. To address these limitations, we propose novel hybrid correction method, local (LHC), which integrates gamma high-contrast regions logarithmic low-contrast within dehazed image. We calculated the cumulative distribution function (CDF) of Weber contrast analyzed impact different thresholds on effectiveness reducing artifacts. Our showed threshold corresponding 90% CDF significantly improved sharpness artifacts compared other thresholds. Furthermore, LHC outperformed both corrections terms artifact reduction, even after applying additional post-processing methods such as multi-exposure fusion guided filtering. quantitative analysis images, using gray-level co-occurrence matrix (GLCM) metrics, indicated offered balanced advantage enhancing details, texture consistency, structural complexity. Specifically, images processed by exhibit moderate correlation, low homogeneity entropy, all made very suitable solution near-ground tasks required enhanced detail also examined coefficient, observing increased distance, deviating progressively from empirical values, this phenomenon underscored complex effects scattering accuracy, especially at extended ranges. Additionally, refined transmittance light reflection 550 nm wavelength verdant landscapes, model’s alignment real-world conditions. This approach was not only could adapt wavelengths future studies. Overall, our research advanced precision techniques, promising decision-making resource management variety environmental applications.

Язык: Английский

Процитировано

0