Overview of Segmentation Algorithms and Software for Optical Remote Sensing Imagery

Geodetski Vestnik - Slovenia
doi 10.15292/geodetski-vestnik.2015.04.709-722
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Faculty of Civil and Geodetic Engineering

Related search

HQ-ISNet: High-Quality Instance Segmentation for Remote Sensing Imagery

Remote Sensing
EarthPlanetary Sciences
2020English

Model Based Traffic Congestion Detection in Optical Remote Sensing Imagery

European Transport Research Review
Automotive EngineeringTransportationMechanical Engineering
2010English

Optical Satellite Remote Sensing of the Coastal Zone Environment — An Overview

2016English

FFT-PCA Method for Fusing Remote Sensing Imagery

Journal of Geospatial Information Technology
2017English

Geometric Accuracy Improvement Method for High-Resolution Optical Satellite Remote Sensing Imagery Combining Multi-Temporal SAR Imagery and GLAS Data

Remote Sensing
EarthPlanetary Sciences
2020English

Investigation of Restoration Techiques for Remote Sensing Satellite Imagery

The International Conference on Electrical Engineering
2006English

Improving Building Change Detection in VHR Remote Sensing Imagery by Combining Coarse Location and Co-Segmentation

ISPRS International Journal of Geo-Information
DevelopmentPlanetary SciencesComputers in Earth SciencesPlanningEarthGeography
2018English

An Overview of GNSS Remote Sensing

Eurasip Journal on Advances in Signal Processing
HardwareElectronic EngineeringSignal ProcessingElectricalArchitecture
2014English

Ozone Profile Climatology for Remote Sensing Retrieval Algorithms

2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy