Multi-temporal SAR image classification of coastal plain wetlands using a new feature selection method and random forests-Reference-Cited by-同舟云学术

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Multi-temporal SAR image classification of coastal plain wetlands using a new feature selection method and random forests

Published:2018-11-29 Issue:3 Volume:10 Page:312-321
ISSN:2150-704X
Container-title:Remote Sensing Letters
language:en
Short-container-title:Remote Sensing Letters

Author:

Zhang Meimei¹^ORCID,Chen Fang¹²³,Tian Bangsen¹,Liang Dong¹²

Affiliation:

1. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China

2. University of Chinese Academy of Sciences, Beijing, China

3. Hainan Key Laboratory of Earth Observation, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Sanya, China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Earth and Planetary Sciences (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/2150704X.2018.1528397

Reference24 articles.

1. Classification and feature extraction for remote sensing images from urban areas based on morphological transformations

2. Large-scale management of common reed, Phragmites australis, for paper production: A case study from the Liaohe Delta, China

3. Combining SVMs with Various Feature Selection Strategies

4. Exploiting SAR and VHR Optical Images to Quantify Damage Caused by the 2003 Bam Earthquake

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5. Ground Object Recognition for Sentinel-1 Imagery Based on Multi-Temporal and Multi-Feature Data Fusion;2023 4th China International SAR Symposium (CISS);2023-12-04

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