Recent advances in hyperspectral remote sensing techniques, especially in the
hyperspectral image classification techniques, have provided efficient support for …

Haze is a kind of natural event which is formed by smoke, dust, or other dry particles. It acts
as an overshot-on scene and degrades the visibility of environments and damages the …

For outburst susceptibility assessment of glacial lakes, the accurate extraction of glacial
lakes region from satellite image is essential. Several techniques are introduced to extract …

A framework for image visibility restoration and haze removal is proposed. The proposed
technique utilizes hybrid median filtering in conjunction with accelerated local Laplacian …

Optical satellite images are often affected by haze atmospheric conditions, which degrades
the quality of remote sensing (RS) data and reduces the accuracy of interpretation and …

Haze is a common phenomenon in remote sensing images, which limits their applications.
In this paper, a novel adaptive dehazing method is proposed for remote sensing images …

This article gives a brief overview of various aspects of data mining of multispectral image
data. We focus on specifically the remote sensing satellite images acquired using …

Aerial image dehazing is an important preprocessing step, since haze extremely degrades
the imaging quality and affects subsequent the applications of aerial imagery. Most current …

Optical satellite images of Earth frequently contain cloud cover and shadows. This requires
processing pipelines to recognize the presence, location, and features of the cloud-affected …

According to statistics, more than 50% of optical satellite images are covered by clouds or
fog. Moreover, the cloud cover rate is much higher in large bodies of water and nearby areas …