A combination of probabilistic neural network (PNN) and particle swarm optimization (PSO) algorithms to map hydrothermal alteration zones using ASTER data-Reference-Cited by-同舟云学术

A combination of probabilistic neural network (PNN) and particle swarm optimization (PSO) algorithms to map hydrothermal alteration zones using ASTER data

Published:2020-06-17 Issue:3 Volume:13 Page:929-937
ISSN:1865-0473
Container-title:Earth Science Informatics
language:en
Short-container-title:Earth Sci Inform

Author:

Lashkari Ahangarani Masood,Ostadmahdi Aragh Nastaran,Mojeddifar Saeed,Hemmati Chegeni Mohsen

Publisher

Springer Science and Business Media LLC

Subject

General Earth and Planetary Sciences

Link

https://link.springer.com/content/pdf/10.1007/s12145-020-00479-0.pdf

Reference33 articles.

1. Abrams MJ, Brown D, Lepley L, Sadowski R (1983) Remote sensing for porphyry copper deposits in southern Arizona. Econ Geol 78:591–604

2. Bennett S, Atkinson W Jr, Kruse F (1993) Use of thematic mapper imagery to identify mineralization in the Santa Teresa District, Sonora, Mexico. Int Geol Rev 35:1009–1029

3. Bodruddoza MD, Fujimitsu Y (2012) Mapping hydrothermal altered mineral deposits using Landsat 7 ETM+ image in and around Kuju volcano, Kyushu, Japan. J Earth Syst Sci 121:1049–1057

4. Carranza E, Hale M (2002) Mineral imaging with Landsat Thematic Mapper data for hydrothermal alteration mapping in heavily vegetated terrane. Int J Remote Sens 23:4827–4852

5. Chettri SR, Cromp RF (1993) Probabilistic neural network architecture for high-speed classification of remotely sensed imagery. Telematics Inform 10(3):187–198

Cited by 4 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 Fault Diagnosis Model for Tennessee Eastman Processes Based on Feature Selection and Probabilistic Neural Network;Applied Sciences;2022-09-04

2. An aggregate gradation detection method based on multi-view information fusion;Powder Technology;2021-08

3. Speckle phase map denoising based on empirical wavelet transform and cross correlation;Optical Engineering;2021-06-17

4. Introduction to Particle Swarm Optimization and Its Paradigms: A Bibliographic Survey;Studies in Big Data;2021