SOTAVerified

Earth Observation

Earth Observation (EO) refers to the use of remote sensing technologies to monitor land, marine (seas, rivers, lakes) and atmosphere. Satellite-based EO relies on the use of satellite-mounted payloads to gather imaging data about the Earth’s characteristics. The images are then processed and analyzed in order to extract different types of information that can serve a very wide range of applications and industries.

Papers

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Showing 501–510 of 518 papers

TitleStatusHype
Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields—0
Towards seamless multi-view scene analysis from satellite to street-level—0
Joint Learning from Earth Observation and OpenStreetMap Data to Get Faster Better Semantic Maps—0
Land Cover Classification via Multi-temporal Spatial Data by Recurrent Neural Networks—0
A clustering approach to heterogeneous change detection—0
Automatic Spatial Context-Sensitive Cloud/Cloud-Shadow Detection in Multi-Source Multi-Spectral Earth Observation Images: AutoCloud+—0
Methods for Mapping Forest Disturbance and Degradation from Optical Earth Observation Data: a Review—0
Multi-spectral Image Panchromatic Sharpening, Outcome and Process Quality Assessment Protocol—0
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images—0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory—0
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