Results 81 to 90 of about 896,165 (218)
Single image haze removal based on luminance weight prior
, 2016 In this paper, we propose a simple and effective luminance weight prior for single image dehazing. This prior is based on the observation that the atmospheric airlight closely relates to luminance of haze-free image.
Cui T(崔童) +3 more
core
Unraveling the impact of dog‐friendly spaces on urban–wildland pumas and other wildlife
Wildlife Biology, EarlyView.As the most widespread large carnivore on the planet, domestic dogs Canis lupus familiaris can pose a major threat to wildlife, even within protected areas (PAs). Growing human presence in PAs, coupled with increasing pet dog ownership underscores the urgency to understand the influence of dogs on wildlife activity and health.
Alys Granados +3 more
wiley +1 more source
ICL-Net: Inverse Cognitive Learning Network for Remote Sensing Image Dehazing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingWhen imaging the Earth's surface, space-based optical imaging sensors are inevitably interfered by scattering media, such as clouds and haze, resulting in serious degradation of remote sensing images they capture.
Weida Dong, Chunyan Wang, Xiping Xu
doaj +1 more source
Perception Oriented Haze Image Definition Restoration by Basing on Physical Optics Model
IEEE Photonics Journal, 2018 Existing haze removal approaches have unreliable estimation of atmospheric light and transmission, which lead to imprecision color information recovery, gradient reversal artifacts, and halo effect.
Hui Fu +3 more
doaj +1 more source
Wildlife Biology, EarlyView.Multiple management strategies exist to combat bird damage to agriculture. We explored combining two tools, drones as frightening devices and an avian repellent, to assess effectiveness of an integrated method to deter large flocks on complex landscapes. We evaluated the ability of a spraying drone (DJI Agras MG‐1P) deploying Avian Control (i.e. active
Jessica L. Duttenhefner +2 more
wiley +1 more source
IEEE AccessThe Sentinel-2 satellite-based Multi-Spectral Imagery (MSI) is crucial for Earth observations owing to its high spectral and spatial resolution. However, the bands of this satellite MSI may be affected by the haze at various times due to changes in ...
Balla Pavan Kumar +3 more
doaj +1 more source
Haze Removal in Color Images Using Hybrid Dark Channel Prior and Bilateral Filter [PDF]
, 2014 Haze formation is the combination of airlight and attenuation. Attenuation decreases the contrast and airlight increases the whiteness in the scene. Atmospheric conditions created by floting particles such as fog and haze, severely degrade image quality.
, Yadwinder Singh, Er. Rajan Goyal
core +1 more source
Strengthening urban deer management with structured decision making
Wildlife Biology, EarlyView.Urban deer management (UDM) decision‐makers face social, ecological, regulatory, and economic pressures when creating an agreeable deer management plan for stakeholders. Historically, decision making techniques (e.g. consensus‐based analyses) have not effectively balanced UDM elements leading to short‐lived management progress.
Shane D. Boehne +6 more
wiley +1 more source
Automatic hazy image enhancement via haze distribution estimation
Advances in Mechanical Engineering, 2018 Since the impact of haze on outdoor imaging varies sharply with the scene depth, hazy image enhancement proves to be a challenging task. In this article, we propose an adaptive image enhancement method for haze removal.
Xuemei Wang, Mingye Ju, Dengyin Zhang
doaj +1 more source
Image Dehazing and Enhancement Using Principal Component Analysis and Modified Haze Features
Applied Sciences, 2018 This paper presents a computationally efficient haze removal and image enhancement methods. The major contribution of the proposed research is two-fold: (i) an accurate atmospheric light estimation using principal component analysis, and (ii) learning ...
Minseo Kim +4 more
doaj +1 more source