… The remote sensing (RS) images used in this study are Landsat 8 Operational Land Image
(… The spatial resolution of the OLI multispectral bands is 30 m, and the digital numbers (DNs) …

… haze removal and cirrus removal exist. Until recently, a cirrus channel was only implemented
for moderateresolution imaging spectroradiometer [9] and imaging … haze/cirrus removal that …

… Deployment: Within the overall framework for detecting construction sites using remote
sensing data, our cloud/haze removal component functions as one of several preprocessing steps…

… , they cannot effectively remove haze from multispectral images. In this paper, a novel haze
removal method based on the CNN is proposed for multispectral remote sensing imagery. In …

… [33] introduced an optimized atmospheric scattering model for Landsat-8 OLI multispectral
image dehazing by estimating the haze transmission of each band. Facing the lack of hazy …

… the above visual analysis and judgment, it is concluded that the URSHR algorithm is very
good and suitable for dealing with haze in panchromatic or multispectral urban remote sensing …

… haze removal method for visible remote sensing images is … haze detection is given by a
HTM. Then a ground radiance suppressed HTM (GRS-HTM) is proposed to calculate a fine haze …

… for haze removal in close shot images. Given the validity of DCP, some DCP-based haze
removal methods for remote sensing images have … multispectral imagery,” IEEE Trans. Geosci. …

… haze removal, named haze removal fully convolutional network, to estimate transmission
maps and generate corresponding haze-removed images … -and-clear image pairs as a dataset …

… remove haze from remote sensing images, obtain high contrast and high definition images,
but also have better generalization ability. … multispectral imagery,’’ IEEE Trans. Geosci. …