Cloud Removal from Satellite Images Using a Deep Learning Model with the Cloud-Matting Method

Thin cloud removal from single satellite images.

A novel method for removing thin clouds from single satellite image is presented based on a cloud physical model. Given the unevenness of clouds, the cloud background is first estimated in the frequency domain and an adjustment function is used to suppress the areas with greater gray values and enhance the dark objects. An image, mainly influenced by transmission, is obtained by subtracting the...

Cloud Removal from Satellite Images Using Information Cloning

In recent years, on average about 35% of cloud covers are generally present in optical satellite images. To develop cloud-free satellite images for analyses of current land cover and land-cover change cloud removal approach based on information cloning is introduced. The approach removes cloud-contaminated portions of a satellite image and then clones information from cloud-free patches to thei...

Cloud Extraction and Removal in Aerial and Satellite Images

Cloud Detection from Satellite Images by Wavelets

Cloud detection and corresponding classification are an important problem in numerical weather forecast and remote sensing in general. The present paper introduces the wavelet transform as an aid tool for solving the problem. A case study based on METEOSAT images and on an available Cloud Analysis product is considered.

Cloud Computing; A New Approach to Learning and Learning

Introduction: The cloud computing and services, as a technological solution for developing educational services, can accelerate the provision and expansion of these highly useful services. This study intended to provide an overall picture of practical areas of learning services based on cloud computing teaching and learning equipment. Methods: This was a theoretical hybrid research study in whi...