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 501–518 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-Objective Software Suite of Two-Dimensional Shape Descriptors for Object-Based Image Analysis—0
Automated Linear-Time Detection and Quality Assessment of Superpixels in Uncalibrated True- or False-Color RGB Images—0
Multi-spectral Image Panchromatic Sharpening, Outcome and Process Quality Assessment Protocol—0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 2 Validation—0
Stage 4 validation of the Satellite Image Automatic Mapper lightweight computer program for Earth observation Level 2 product generation, Part 1 Theory—0
On the usability of deep networks for object-based image analysis—0
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks—0
Multi-feature combined cloud and cloud shadow detection in GaoFen-1 wide field of view imagery—0
Implementation and comparative quantitative assessment of different multispectral image pansharpening approches—0
Compressive Hyperspectral Imaging Using Progressive Total Variation—0
Tensor Representation and Manifold Learning Methods for Remote Sensing Images—0
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