Cloud detection algorithms are crucial in many remote-sensing applications to allow an
optimized processing of the acquired data, without the interference of the cloud fields above …

Cloud masking is of central importance to the Earth Observation community. This paper
deals with the problem of detecting clouds in visible and multispectral imagery from high …

Cloud detection is an important preprocessing step for the precise application of optical
satellite imagery. In this paper, we propose a deep learning based cloud detection method …

Reliable detection of clouds is a critical pre-processing step in optical satellite based remote
sensing. Currently, most methods are based on classifying invidual pixels from their spectral …

Cloud detection is an important and difficult task in the pre-processing of satellite remote
sensing data. The results of traditional cloud detection methods are often unsatisfactory in …

Cloud detection in satellite images is an important first-step in many remote sensing
applications. This problem is more challenging when only a limited number of spectral …

Cloud detection is a crucial preprocessing step for optical satellite remote sensing (RS)
images. This article focuses on the cloud detection for RS imagery with cloud-snow …

Cloud cover is a common and inevitable phenomenon that often hinders the usability of
optical remote sensing (RS) image data and further interferes with continuous cartography …

Cloud detection in remote sensing images is a challenging but significant task. Due to the
variety and complexity of underlying surfaces, most of the current cloud detection methods …

This paper presents a deep-learning based framework for addressing the problem of
accurate cloud detection in remote sensing images. This framework benefits from a Fully …