Cloud/snow recognition for multispectral satellite imagery based on a multidimensional deep residual network
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1508917
Abstract: ABSTRACT Cloud/snow recognition technology for multispectral satellite imagery plays an important role in resource investigation, natural disasters, and environmental pollution. Traditional feature based classification methods cannot make full use of the effective features and multispectral… read more here.
Keywords: cloud; snow recognition; satellite imagery; cloud snow ... See more keywords
Distinguishing Cloud and Snow in Satellite Images via Deep Convolutional Network
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2017.2735801
Abstract: Cloud and snow detection has significant remote sensing applications, while they share similar low-level features due to their consistent color distributions and similar local texture patterns. Thus, accurately distinguishing cloud from snow in pixel level… read more here.
Keywords: level; cloud; satellite images; convolutional network ... See more keywords
MODIS-Based AVHRR Cloud and Snow Separation Algorithm
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2021.3059428
Abstract: The long-term data record (LTDR) has the goal of developing a quality and consistent Advanced Very High Resolution Radiometer (AVHRR) surface reflectance and albedo products dating back to 1982 at 0.05° spatial resolution. Distinguishing between… read more here.
Keywords: cloud snow; modis based; based avhrr; cloud ... See more keywords
Cloud/snow recognition of satellite cloud images based on multiscale fusion attention network
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Applied Remote Sensing"
DOI: 10.1117/1.jrs.14.032609
Abstract: Abstract. Cloud/snow recognition technology has application significance in meteorological detection, aviation control, remote sensing disaster prevention, and mitigation. At present, the method of labeling cloud and snow area manually is time- and labor-consuming. Shallow learning… read more here.
Keywords: cloud snow; snow recognition; cloud; network ... See more keywords