Results 101 to 110 of about 691 (187)

Dehazing of Satellite Images

, 2018
The aim of this work is to find a method for removing haze from satellite imagery. This is done by taking two algorithms developed for images taken from the sur- face of the earth and adapting them for satellite images. The two algorithms are Single Image Haze Removal Using Dark Channel Prior by He et al.
openaire   +1 more source

Generative adversarial networks with texture recovery and physical constraints for remote sensing image dehazing. [PDF]

Sci Rep
Jia Y, Yu W, Zhao L.
europepmc   +1 more source

Underwater image dehazing using a hybrid GAN with bottleneck attention and improved Retinex-based optimization. [PDF]

Sci Rep
Kaur A, Rani S, Shabaz M.
europepmc   +1 more source

Single Image Haze Removal via Multiple Variational Constraints for Vision Sensor Enhancement. [PDF]

Sensors (Basel)
Feng Y, Zhao W, Wang L, Liu H, Li Y, Liu Y.   +5 more
europepmc   +1 more source

SAD-Net: a full spectral self-attention detail enhancement network for single image dehazing. [PDF]

Sci Rep
Niu Q, Wu K, Zhang J, Han Z, Liu L.
europepmc   +1 more source

Alpha-DehazeNet: single image dehazing <i>via</i> RGBA haze modeling and adaptive learning. [PDF]

PeerJ Comput Sci
He J, Li R.
europepmc   +1 more source

A Lightweight Multi-Stage Visual Detection Approach for Complex Traffic Scenes. [PDF]

Sensors (Basel)
Zhao X, Dou X, Zheng J, Zhang G.
europepmc   +1 more source

Research on a Recognition Algorithm for Traffic Signs in Foggy Environments Based on Image Defogging and Transformer. [PDF]

Sensors (Basel)
Liu Z, Yan J, Zhang J.
europepmc   +1 more source

An improved and advanced method for dehazing coal mine dust images. [PDF]

Sci Rep
Cao P, Wang X, Li L, Liu M, Wang M.
europepmc   +1 more source

ODD-Net: a hybrid deep learning architecture for image dehazing. [PDF]

Sci Rep
Asha CS, Siddiq AB, Akthar R, Rajan MR, Suresh S.   +4 more
europepmc   +1 more source