Evaluation of advanced time series similarity measures for object-based cropland mapping-Reference-Cited by-同舟云学术

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Evaluation of advanced time series similarity measures for object-based cropland mapping

Published:2023-06-18 Issue:12 Volume:44 Page:3777-3800
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

He Weiqiang¹,Ma Lei¹,Yan Ziyun¹,Lu Heng²

Affiliation:

1. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural Resources, School of Geography and Ocean Science, Nanjing University, Nanjing, China

2. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu, China

Funder

National Natural Science Foundation of China

Sichuan Science and Technology Program

State Key Laboratory of Hydraulics and Mountain River Engineering

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2227318

Reference74 articles.

1. The great time series classification bake off: a review and experimental evaluation of recent algorithmic advances

2. Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis

3. Multi-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information

4. Object based image analysis for remote sensing

5. Geographic Object-Based Image Analysis – Towards a new paradigm

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1. A novel red-edge vegetable index for paddy rice mapping based on Sentinel-1/2 and GF-6 images;International Journal of Digital Earth;2024-09-02

2. Selecting the optimal gridded climate dataset for Nigeria using advanced time series similarity algorithms;Environmental Science and Pollution Research;2024-02-03

3. Mapping cropland in Yunnan Province during 1990–2020 using multi-source remote sensing data with the Google Earth Engine Platform;Geocarto International;2024-01

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