Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Ten deep learning techniques to address small data problems with remote sensing
A Safonova, G Ghazaryan, S Stiller… - International Journal of …, 2023 - Elsevier
Researchers and engineers have increasingly used Deep Learning (DL) for a variety of
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is …
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is …
[HTML][HTML] Building use and mixed-use classification with a transformer-based network fusing satellite images and geospatial textual information
Assigning detailed use categories to buildings is a challenging and relevant task in urban
land use classification with applications in urban planning, digital city modelling and …
land use classification with applications in urban planning, digital city modelling and …
Deep learning semantic segmentation for land use and land cover types using Landsat 8 imagery
Using deep learning semantic segmentation for land use extraction is the most challenging
problem in medium spatial resolution imagery. This is because of the deep convolution layer …
problem in medium spatial resolution imagery. This is because of the deep convolution layer …
Influence of farmland marginalization in mountainous and hilly areas on land use changes at the county level
[HTML][HTML] CNN-enhanced heterogeneous graph convolutional network: inferring land use from land cover with a case study of park segmentation
ZQ Liu, P Tang, W Zhang, Z Zhang - Remote Sensing, 2022 - mdpi.com
Land use segmentation is a fundamental yet challenging task in remote sensing. Most
current methods mainly take images as input and sometimes cannot achieve satisfactory …
current methods mainly take images as input and sometimes cannot achieve satisfactory …
Improvements in forest segmentation accuracy using a new deep learning architecture and data augmentation technique
Y He, K Jia, Z Wei - Remote Sensing, 2023 - mdpi.com
Forests are critical to mitigating global climate change and regulating climate through their
role in the global carbon and water cycles. Accurate monitoring of forest cover is, therefore …
role in the global carbon and water cycles. Accurate monitoring of forest cover is, therefore …