Discrete Topology Based Hierarchical Segmentation for Efficient Object-Based Image Analyis: Application to Object Detection in High Resolution Satellite Images

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
doi 10.5194/isprsarchives-xl-1-w1-339-2013
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Copernicus GmbH

Related search

Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network

Remote Sensing
EarthPlanetary Sciences
2018English

A Method for Vehicle Detection in High-Resolution Satellite Images That Uses a Region-Based Object Detector and Unsupervised Domain Adaptation

Remote Sensing
EarthPlanetary Sciences
2020English

Object-Based Image Enhancement Technique for Gray Scale Images

International Journal of Advanced Information Technology
2014English

Temporal Segmentation of Video Objects for Hierarchical Object-Based Motion Description

IEEE Transactions on Image Processing
Computer GraphicsComputer-Aided DesignSoftware
2002English

Using Morphlet-Based Image Representation for Object Detection

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Segmentation Method Based on Multiobjective Optimization for Very High Spatial Resolution Satellite Images

Eurasip Journal on Image and Video Processing
Electronic EngineeringSignal ProcessingInformation SystemsElectrical
2017English

An Object-Based Burnt Area Detection Method Based on Landsat Images - A Step Forward for Automatic Global High-Resolution Mapping

2016English

An Integrative Object-Based Image Analysis Workflow for Uav Images

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Combining High Spatial Resolution Optical and Lidar Data for Object-Based Image Classification

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

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

Privacy PolicyRefund Policy