However, there is no such cloud images database to date. Thus, we propose a large-scale cloud image database for meteorological research (LSCIDMR). To the best of our knowledge, it is the first publicly available satellite cloud image benchmark database for meteorological research, in which ...
Content-based satellite cloud image processing and information retrieval (CBIPIR) is a very important problem in image processing and analysis field. The basic character, like color, texture, edge and shape was extracted from the cloud image, and then the satellite cloud image database was ...
Landsat 1-5 have completed their missions, contributing to the precious database of historical satellite imagery. The others are still on-orbit enriching historical collections with the latest remote sensing data (optical and radar).The infographic below provides a better idea of when the launches ...
HIPI(Hadoop Image Processing InterfaceToday in the world of cloud and grid computing integration of data from heterogeneous databases is inevitable.This will become complex when size of the database is very large. M-R is a new framework specifically designed for processing huge datasets on ...
Agriculture-Vision Database & CVPR 2020 challenge(UIUC, Intelinair, CVPR, Jan 2020) Agricultural Pattern Analysis, 21k aerial farmland images (RGB-NIR, USA, 2019 season, 512x512px chips), label masks for 6 field anomaly patterns (Cloud shadow, Double plant, Planter skip, Standing Water, Wate...
iris-> Tool for manual image segmentation and classification of satellite imagery If you are considering building an in house annotation platformread this article. Used PostGis database, GeoJson format and GIS standard in a stateless architecture ...
Satellite Streaming Video QoE Prediction: A Real-World Subjective Database and Network-Level Prediction Models Demand for streaming services, including satellite, continues to exhibit unprecedented growth. Internet Service Providers find themselves at the crossroads... B Chen,Z Shang,JW Chung,... 被...
Oliveira-Santos, "Automatic large-scale data acquisition via crowdsourcing for crosswalk classification: A deep learning approach," Computers & Graphics, vol... RF Berriel,FS Rossi,AF De Souza,... - 《Computers & Graphics》 被引量: 1发表: 2017年 Crosswalk Recognition Through Point-Cloud Processi...
The platform hardware is composed of a network router, a firewall device, a database server, a disk array, a satellite data processing server, an application server, and a monitoring client. Platform software includes GIS software platform such as ArcGIS, database management software such as ...
Machine learning approaches using satellite imagery are providing accessible ways to infer socioeconomic measures without visiting a region. However, many algorithms require integration of ground-truth data, while regional data are scarce or even absent