Classification and Understanding of Cloud Structures via Satellite Images with EfficientUNetEfficientNetUNetClouds structureDice coefficientClimate change has been a common interest and the forefront of crucial political discussion and decision-making for many years. Shallow/Low-altitude clouds play a ...
天池实验室 数据集 公共数据集 正文 Understanding Clouds from Satellite Images(从卫星图像了解云) 小胡大概是个同学2021-01-082013CC-BY-SA-NC 4.0 新建Notebook 内容 Notebook 评论 提交 0
A Challenge to Parse the Earth through Satellite Images BigEarthNet: A new large-scale Sentinel-2 benchmark archive for land-cover classification, which consists of 590,326 Sentinel-2 image patches from 125 Sentinel-2 tiles acquired between June 2017 and May 2018 over the 10 Europe countries....
In 2018, images were released of a planet being formed around the star PDS 70, offering a tantalizing glimpse into how planets come into being. However, many questions remain about how dust evolves into planets, and astrophysical observations are unable to provide all the answers. It is therefo...
Very little data exists on this region, because clouds tend to block ARs from a satellite’s view. So, Air Force planes do the job; they fly into atmospheric rivers, dropping 10–12 little sensors that are about the size of a Coke can and equipped with parachutes. As they descend, the...
Aerial and satellite imagesare projected images where clouds and cloud-shadows cause interferences in them. Detecting the presence of clouds over a region ... L Abraham,M Sasikumar - 《Advances in Intelligent Systems & Computing》 被引量: 5发表: 2013年 Synthesis and annealing effects on the op...
Accurately characterizing clouds and their shadows is a long-standing problem in the Earth Observation community. Recent works showcase the necessity to improve cloud detection methods for imagery acquired by the Sentinel-2 satellites. However, the lack
FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS This work proposes an approach for semantic classification of an outdoor-scene point cloud acquired with a high precision Mobile Mapping System (MMS), with... D Tosic,S Tuttas,L Hoegner,... - 《Internati...
Satellite images revealing the Dead Sea’s shrinkage in surface area and water volume (from left—first: September 15, 1972; second: August 27, 1989; third: October 11, 2011; and fourth: July 21, 2019), as well as the growth of mineral-extraction evaporation ponds (shown in blue and gr...
While both sets of “images” are representations of the same reality and both are rasters with a similar spatial resolution, there are more differences than similarities between these data products. Figure 7. (a) Shaded relief map produced from a DSM; (b) Visible Satellite Image; (c) ...