Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods-Reference-Cited by-同舟云学术

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Feature extraction for hyperspectral mineral domain mapping: A test of conventional and innovative methods

Published:2021-01 Issue: Volume:252 Page:112129
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Lorenz Sandra,Ghamisi Pedram,Kirsch Moritz,Jackisch Robert,Rasti Behnood,Gloaguen Richard

Funder

Alexander von Humboldt-Stiftung

Helmholtz-Zentrum Dresden-Rossendorf

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Geology,Soil Science

Reference29 articles.

1. Spectral-Spatial Classification of Hyperspectral Remote Sensing Images;Benediktsson,2015

2. Choosing multiple parameters for support vector machines;Chapelle;Mach. Learn.,2002

3. Advances in spectral-spatial classification of hyperspectral images;Fauvel;Proc. IEEE,2013

4. Advanced spectral classifiers for hyperspectral images: a review;Ghamisi;IEEE Geosci. Remote Sens. Mag.,2017

5. New Frontiers in Spectral-Spatial Hyperspectral Image Classification: The Latest Advances Based on Mathematical Morphology, Markov Random Fields, Segmentation, Sparse Representation, and Deep Learning;Ghamisi;IEEE Geosci. Remote Sens. Mag.,2018

Cited by 35 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. A review on hyperspectral imagery application for lithological mapping and mineral prospecting: Machine learning techniques and future prospects;Remote Sensing Applications: Society and Environment;2024-08

2. From sensor fusion to knowledge distillation in collaborative LIBS and hyperspectral imaging for mineral identification;Scientific Reports;2024-04-20

3. Hyperspectral estimation method for deterioration of rock carvings in the humid regions of southern China;Heritage Science;2024-03-29

4. Two-Stream spectral-spatial convolutional capsule network for Hyperspectral image classification;International Journal of Applied Earth Observation and Geoinformation;2024-03

5. Swin-MSP: A Shifted Windows Masked Spectral Pretraining Model for Hyperspectral Image Classification;IEEE Transactions on Geoscience and Remote Sensing;2024

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