Optimization of Multiresolution Segmentation for Object-Oriented Road Detection from High-Resolution Images-Reference-Cited by-同舟云学术

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Optimization of Multiresolution Segmentation for Object-Oriented Road Detection from High-Resolution Images

Published:2016-03-03 Issue:2 Volume:42 Page:75-84
ISSN:0703-8992
Container-title:Canadian Journal of Remote Sensing
language:en
Short-container-title:Canadian Journal of Remote Sensing

Author:

Saba Fatemeh,Valadan Zoej Mohammad Javad,Mokhtarzade Mehdi

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

http://www.tandfonline.com/doi/pdf/10.1080/07038992.2016.1160770

Reference20 articles.

1. Image segmentation using evolutionary computation

2. Adaptive image segmentation using a genetic algorithm

3. Automated object-based classification of topography from SRTM data

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1. Urban Vegetation Extraction from High-Resolution Remote Sensing Imagery on SD-UNet and Vegetation Spectral Features;Remote Sensing;2023-09-12

2. An Operational Framework for Reconstructing Lane-Level Road Maps Using Open Access Data;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2023

3. Mapping dead understorey Buxus hyrcana Pojark using Sentinel-2 and Sentinel-1 data;Forestry: An International Journal of Forest Research;2022-12-08

4. Integrated technique of segmentation and classification methods with connected components analysis for road extraction from orthophoto images;Expert Systems with Applications;2021-08

5. A Lane Extraction Algorithm Based on Fuzzy Set;Mathematical Problems in Engineering;2021-06-02

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