A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification-Reference-Cited by-同舟云学术

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A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification

Published:2024-12 Issue: Volume:258 Page:125145
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Zhang Yiyan^ORCID,Gao Hongmin^ORCID,Zhou Jun,Zhang Chenkai,Ghamisi Pedram,Xu Shufang^ORCID,Li Chenming,Zhang Bing

Funder

Jiangsu Province Natural Science Foundation

Università degli Studi di Trento

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference59 articles.

1. Super-resolution reconstruction of hyperspectral images;Akgun;IEEE Transactions on Image Processing,2005

2. Open and scalable analytics of large earth observation datasets: From scenes to multidimensional arrays using scidb and GDAL;Appel;ISPRS Journal of Photogrammetry and Remote Sensing,2018

3. Invertible residual networks;Behrmann,2019

4. Classification of hyperspectral data from urban areas based on extended morphological profiles;Benediktsson;IEEE Transactions on Geoscience and Remote Sensing,2005

5. Hyperspectral remote sensing data analysis and future challenges;Bioucas-Dias;IEEE Geoscience and Remote Sensing Magazine,2013

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