International Journal of Geosciences

International Journal of Geosciences

ISSN Print: 2156-8359
ISSN Online: 2156-8367
www.scirp.org/journal/ijg
E-mail: ijg@scirp.org
"A Review of Researches on Deep Learning in Remote Sensing Application"
written by Ming Zhu, Yongning He, Qingyu He,
published by International Journal of Geosciences, Vol.10 No.1, 2019
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Mapping soil organic carbon distribution across South Africa's major biomes using remote sensing-topo-climatic covariates and Concrete Autoencoder-Deep neural …
Science of The Total …, 2023
[2] Evaluation of projected soil organic carbon stocks under future climate and land cover changes in South Africa using a deep learning approach
Journal of …, 2023
[3] Coupling of deep learning and remote sensing: a comprehensive systematic literature review
… Journal of Remote …, 2023
[4] The application of deep learning for remote sensing of soil organic carbon stocks distribution in South Africa.
2022
[5] 基于全卷积网络模型的高分遥感影像内陆网箱养殖区提取
山东科学, 2022
[6] Continuous monitoring of vital signs using cameras: a systematic review
Sensors, 2022
[7] AGs-Unet: Building Extraction Model for High Resolution Remote Sensing Images Based on Attention Gates U Network
Sensors, 2022
[8] Deep learning-based national scale soil organic carbon mapping with Sentinel-3 data
Geoderma, 2022
[9] Comparing OBIA-Generated Labels and Manually Annotated Labels for Semantic Segmentation in Extracting Refugee-Dwelling Footprints
Applied Sciences, 2022
[10] Generative Feature Extraction From Sentinel 1 and 2 Data for Prediction of Forest Aboveground Biomass in the Italian Alps
IEEE Journal of Selected …, 2022
[11] Landslide Detection Using Densely Connected Convolutional Networks and Environmental Conditions
2021
[12] An Approach to Mapping Deforestation in Permanent Forest Reserve Using the Convolutional Neural Network and Sentinel-1 Synthetic Aperture Radar
2021
[13] Assessment of the Ecological Condition of Soil Cover Based on Remote Sensing Data: Erosional Aspect
2021
[14] A deep learning training method of water identification based on the Third National Land Survey data
… Conference on Neural …, 2021
[15] Adaptive region-based post-classification framework for land-cover mapping improvement using very high spatial resolution optical imagery
2021
[16] Review on remote sensing methods for landslide detection using machine and deep learning
2020
[17] Deep Learning in Forest Structural Parameter Estimation Using Airborne LiDAR Data
2020
[18] In-domain representation learning for remote sensing
2019
[19] Introductory Chapter: Landslides
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top