Haze Removal Based on a Fully Automated and Improved Haze Optimized Transformation for Landsat Imagery over Land

Sun, Liang; Latifovic, Rasim; Pouliot, Darren

doi:10.3390/rs9100972

Cited by 22 publications

(4 citation statements)

References 27 publications

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“…International Ammunition Technical Guidelines have introduced ‘Blast Damage Estimation Tool’, which provides simple empirical correlations of explosion consequences from the detonation of a certain amount of explosives at distances of concern: degree of damage to brick structures and windows, blast-related injury levels, and maximum affected range by ground vibration [ 26 ]. When enters the TNT amount range from munition to structure, calculations for damages to brick structures at distance in meters (m) of concern are shown in Table 1 .…”

Section: Resultsmentioning

confidence: 99%

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Analysis of ammonium nitrate detonation destruction in Beirut city using geospatial techniques

2022

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Applications of geospatial techniques plays an important role in disaster management and mitigation. This study focuses to analyze how can geospatial technology could have been utilized to minimize the destruction created by the Ammonium Nitrate detonation in Beirut city. Firstly, the disaster impacts on the build-up area were demarcated using Google Earth-based survey, Remote Sensing, and ArcGIS applications. According to the analysis, it was identified that the Ammonium Nitrate detonation incident in the Beirut port has extensively damaged the built-up area within a 2 km buffer zone from the explosion. Among them, fully demolished constructions are bounded to a 1 km buffer area while partially damage and less damage to buildings were encompassed within 5 km from the epicenter of the incident. The Quantity Distance Mapping Tool results depicted more as similar results to the results obtained through the aforementioned geospatial techniques in post-disaster impact analysis. Therefore, proper planning to locate built-up areas considering vulnerable places away from the possible disaster-induced location utilizing spatial techniques like Quantity Distance Mapping Tool would be more effective in pre-disaster preparedness as we all live in a hidden catastrophic environment. Thus, lessons learned from this Ammonium Nitrate detonation incident of the Beirut city, especially the importance of risk assessment and adherence to precaution measures are needed in any chemical operation sites as well as chemical storing sites.

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Section: Resultsmentioning

confidence: 99%

“…During this process, haze reduction under radiometric corrections in ERDAS IMAGINE 2014 was applied. Otherwise, results may less reliable in the presence of clouds and atmospheric haze [ 26 ]. Thereafter, the images were exported to ArcGIS software (version 10.8.1).…”

Section: Methodsmentioning

confidence: 99%

Analysis of ammonium nitrate detonation destruction in Beirut city using geospatial techniques

2022

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“…An atmospheric scattering correction technique for optical data based on dark object subtraction (DOS) was presented by Chavez [1], [2]. Zhang et al [3] propose a haze optimized transformation (HOT) for the characterization of spatial distribution of haze and the false HOT responses generated numerous strategies research and approaches [4], [5], [6], [7]. Among the haze removal techniques literature presents the ones based on background suppressed haze thickness index (BSHTI) [8], haze thickness map (HTM) [9], [10] and a homomorphic filter [11], [12].…”

Section: Introductionmentioning

confidence: 99%

Haze and Smoke Removal for Visualization of Multispectral Images: A DNN Physics Aware Architecture

Neagoe

Vaduva

Datcu

2021

2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS

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Remote sensing multispectral images are extensively used by applications in various fields. The degradation generated by haze or smoke negatively influences the visual analysis of the represented scene. In this paper, a deep neural network based method is proposed to address the visualization improvement of hazy and smoky images. The method is able to entirely exploit the information contained by all spectral bands, especially by the SWIR bands, which are usually not contaminated by haze or smoke. A dimensionality reduction of the spectral signatures or angular signatures is rapidly obtained by using a stacked autoencoders (SAE) trained based on contaminated images only. The latent characteristics obtained by the encoder are mapped to the R -G -B channels for visualization. The haze and smoke removal results of several Sentinel 2 scenes present an increased contrast and show the haze hidden areas from the initial natural color images.

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“…Oceans have a large amount of means of energy, which plays an essential role in the prolongation of existence on earth, and aquatic survey involves high technological activities [1,2]. Fog and haze removal are mandatory for applications that are instantaneous, for example, transportation that is video-directed [3][4][5], environment monitoring [6][7][8], for surveying instantaneous remote detection pictures [9][10][11][12], and the auto-pilot supported structures [13][14][15]. In addition to this, it is quite challenging to precisely recover remotely sensed objects covered by thick clouds and shadows [16].…”

Section: Introductionmentioning

confidence: 99%

Underwater image restoration: A state‐of‐the‐art review

Fayaz

Parah

Qureshi³

et al. 2020

IET Image Processing

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Underwater imaging is one of the hot areas of research and is receiving considerable attention from the research community due to the challenges involved. Underwater images are prone to various distortions like poor contrast and colour deviation. Light scattering and light absorption in water medium are the main reasons for degradation in subaquatic images. Scattering of visible‐light energy reduces the sharpness of image whereas varying degrees of light attenuation travelling in water results in the colour change. Restoration of distorted underwater images is an ill‐posed and challenging problem. Various techniques and methodologies are being used to process and restore underwater images. In this study, we present a state‐of‐the‐art review of various conventional and computer vision‐based algorithms and techniques, developed so far, to present a clearer view of the methods used for underwater image restoration. We discuss various conditions for which the schemes have been developed as well as highlight the quality assessment methods used to evaluate their performance. We compare various state‐of‐art schemes based on various subjective and objective indices and discuss future research directions in the field of underwater image restoration.

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Haze Removal Based on a Fully Automated and Improved Haze Optimized Transformation for Landsat Imagery over Land

Cited by 22 publications

References 27 publications

Analysis of ammonium nitrate detonation destruction in Beirut city using geospatial techniques

Analysis of ammonium nitrate detonation destruction in Beirut city using geospatial techniques

Haze and Smoke Removal for Visualization of Multispectral Images: A DNN Physics Aware Architecture

Underwater image restoration: A state‐of‐the‐art review

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