Cnns in land cover mapping with remote sensing imagery: a review and meta-analysis-Reference-Cited by-同舟云学术

Cnns in land cover mapping with remote sensing imagery: a review and meta-analysis

Published:2023-09-25 Issue:19 Volume:44 Page:5896-5935
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Kotaridis Ioannis¹²,Lazaridou Maria¹

Affiliation:

1. Faculty of Engineering, Department of Civil Engineering, Laboratory of Photogrammetry - Remote Sensing, Aristotle University of Thessaloniki, Thessaloniki, Greece

2. Planetek Hellas, Athens, Greece

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2023.2255354

Reference175 articles.

1. Urban Vegetation Mapping from Aerial Imagery Using Explainable AI (XAI)

2. Multi-Label Noise Robust Collaborative Learning for Remote Sensing Image Classification

3. Desertification prediction with an integrated 3D convolutional neural network and cellular automata in Al-Muthanna, Iraq

4. Deep Learning Methods for Land Cover and Land Use Classification in Remote Sensing: A Review

5. Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

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