Impact of reference datasets and autocorrelation on classification accuracy-Reference-Cited by-同舟云学术

Impact of reference datasets and autocorrelation on classification accuracy

Published:2011-07-12 Issue:19 Volume:32 Page:5321-5330
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Mannel Sylvio¹,Price Maribeth²,Hua Dong³

Affiliation:

1. a Department of Geosciences , Idaho State University , Pocatello, ID, 83209, USA

2. b Department of Geology and Geological Engineering , South Dakota School of Mines and Technology , 501 E St Joseph Street, Rapid City, SD, 57701, USA

3. c Department of Forest Resources , University of Minnesota , 1530 Cleveland Avenue North, St Paul, MN, 55108-6112, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2010.498841

Reference22 articles.

1. Spatial statistical analysis and geographic information systems

2. Knowledge Discovery and Data Mining

3. A review of assessing the accuracy of classifications of remotely sensed data

4. Assessing the Accuracy of Remotely Sensed Data

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Ensemble Machine Learning on the Fusion of Sentinel Time Series Imagery with High-Resolution Orthoimagery for Improved Land Use/Land Cover Mapping;Remote Sensing;2024-07-30

2. Assessing interpreter’s disagreements in land cover reference data collection from historical Landsat time series in Amazon;International Journal of Remote Sensing;2024-07-12

3. Design of fabric rubber composite seals with multilevel structure using machine learning method;Composites Part A: Applied Science and Manufacturing;2024-05

4. Mapping past land cover on Poitiers in 1993 at very high resolution using GEOBIA approach and open data;Data in Brief;2024-02

5. Are human-induced changes good or bad to dynamic landscape connectivity?;Journal of Environmental Management;2024-02