Accurate cloud detection in high-resolution remote sensing imagery by weakly supervised deep learning
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 …
optical remote sensing (RS) image data and further interferes with continuous cartography …
A review on deep learning techniques for cloud detection methodologies and challenges
Cloud detection (CD) with deep learning (DL) algorithms has been greatly developed in the
applications involving the predictions of extreme weather and climate. In this review, the …
applications involving the predictions of extreme weather and climate. In this review, the …
Deep learning based cloud detection for medium and high resolution remote sensing images of different sensors
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 …
satellite imagery. In this paper, we propose a deep learning based cloud detection method …
Cloud detection in remote sensing images based on multiscale features-convolutional neural network
Z Shao, Y Pan, C Diao, J Cai - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
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 …
variety and complexity of underlying surfaces, most of the current cloud detection methods …
Multilevel cloud detection in remote sensing images based on deep learning
Cloud detection is one of the important tasks for remote sensing image processing. In this
paper, a novel multilevel cloud detection method based on deep learning is proposed for …
paper, a novel multilevel cloud detection method based on deep learning is proposed for …
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery
The wide field of view (WFV) imaging system onboard the Chinese GaoFen-1 (GF-1) optical
satellite has a 16-m resolution and four-day revisit cycle for large-scale Earth observation …
satellite has a 16-m resolution and four-day revisit cycle for large-scale Earth observation …
An urban water extraction method combining deep learning and Google Earth engine
Urban water is important for the urban ecosystem. Accurate and efficient detection of urban
water with remote sensing data is of great significance for urban management and planning …
water with remote sensing data is of great significance for urban management and planning …
CDnet: CNN-based cloud detection for remote sensing imagery
Cloud detection is one of the important tasks for remote sensing image (RSI) preprocessing.
In this paper, we utilize the thumbnail (ie, preview image) of RSI, which contains the …
In this paper, we utilize the thumbnail (ie, preview image) of RSI, which contains the …
CDnetV2: CNN-based cloud detection for remote sensing imagery with cloud-snow coexistence
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 …
images. This article focuses on the cloud detection for RS imagery with cloud-snow …
Shadow remover: Image shadow removal based on illumination recovering optimization
In this paper, we present a novel shadow removal system for single natural images as well
as color aerial images using an illumination recovering optimization method. We first …
as color aerial images using an illumination recovering optimization method. We first …