A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images-Reference-Cited by-同舟云学术

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A simple and effective spectral-spatial method for mapping large-scale coastal wetlands using China ZY1-02D satellite hyperspectral images

Published:2021-12 Issue: Volume:104 Page:102572
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Sun Weiwei,Liu Kai,Ren Guangbo,Liu Weiwei,Yang Gang,Meng Xiangchao,Peng Jiangtao

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference46 articles.

1. Spatio-temporal analysis of oil spill impact and recovery pattern of coastal vegetation and wetland using multispectral satellite landsat 8-OLI imagery and machine learning models;Balogun;Remote Sens.,2020

2. Classification of hyperspectral data from urban areas based on extended morphological profiles;Benediktsson;IEEE Trans. Geosci. Remote Sens.,2005

3. Composite kernels for hyperspectral image classification;Camps-Valls;IEEE Geosci. Remote Sens. Lett.,2006

4. Spectral-Spatial Hyperspectral Image Classification via Robust Low-Rank Feature Extraction and Markov Random Field;Cao;Remote Sens.,2019

5. Deep feature extraction and classification of hyperspectral images based on convolutional neural networks;Chen;IEEE Trans. Geosci. Remote Sens.,2016

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