An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery-Reference-Cited by-同舟云学术

An assessment of image classifiers for generating machine-learning training samples for mapping the invasive Campuloclinium macrocephalum (Less.) DC (pompom weed) using DESIS hyperspectral imagery

Published:2022-03 Issue: Volume:185 Page:188-200
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Mafanya Madodomzi,Tsele Philemon,Zengeya Tsungai,Ramoelo Abel

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference58 articles.

1. Data products, quality and validation of the DLR earth sensing imaging spectrometer (DESIS);Alonso;Sensors (Switzerland),2019

2. Automatic classification of land cover on Smith Island, VA, using HyMAP imagery;Bachmann;IEEE Trans. Geosci. Remote Sens.,2002

3. Monitoring early stage invasion of exotic Spartina alterniflora using deeplearning super-resolution techniques based on multisource high-resolution satellite imagery: A case study in the Yellow River Delta, China;Chen;Int. J. Appl. Earth Obs. Geoinformation,2020

4. Supervised methods of image segmentation accuracy assessment in land cover mapping’;Costa;Remote Sens. Environ.,2018

5. A comparison of error metrics and constraints for multiple endmember spectral mixture analysis and spectral angle mapper;Dennison;Remote Sens. Environ.,2004

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