MFFENet and ADANet: a robust deep transfer learning method and its application in high precision and fast cross-scene recognition of earthquake-induced landslides
Automatic recognition and segmentation methods have become an essential requirement in
identifying large-scale earthquake-induced landslides. This used to be conducted through …
identifying large-scale earthquake-induced landslides. This used to be conducted through …
Knowledge evolution learning: A cost-free weakly supervised semantic segmentation framework for high-resolution land cover classification
H Cui, G Zhang, Y Chen, X Li, S Hou, H Li, X Ma… - ISPRS Journal of …, 2024 - Elsevier
Despite the success of deep learning in land cover classification, high-resolution (HR) land
cover map** remains challenging due to the time-consuming and labor-intensive process …
cover map** remains challenging due to the time-consuming and labor-intensive process …
Category-level selective dual-adversarial network using significance-augmented unsupervised domain adaptation for surface defect detection
S Zhang, L Su, J Gu, K Li, W Wu, M Pecht - Expert Systems with …, 2024 - Elsevier
Surface defect detection is very important to ensure the quality of industrial products.
Traditional machine learning cannot be well extended to a non-identically distributed …
Traditional machine learning cannot be well extended to a non-identically distributed …
A Systematic Literature Review and Bibliometric Analysis of Semantic Segmentation Models in Land Cover Map**
Recent advancements in deep learning have spurred the development of numerous novel
semantic segmentation models for land cover map**, showcasing exceptional …
semantic segmentation models for land cover map**, showcasing exceptional …
STVAE: Skip connection driven two-stream property Fusion Variational AutoEncoder for cross-region wastewater treatment plant semantic segmentation
Wastewater treatment plant (WWTP) plays a crucial role in achieving social sustainable
development goals. Precise information on WWTPs obtained through advanced semantic …
development goals. Precise information on WWTPs obtained through advanced semantic …
Unsupervised domain adaptation for the semantic segmentation of remote sensing images via one-shot image-to-image translation
Domain adaptation is one of the prominent strategies for handling both the scarcity of pixel-
level ground truth and the domain shift, that is widely encountered in large-scale land …
level ground truth and the domain shift, that is widely encountered in large-scale land …
High-resolution semantically consistent image-to-image translation
Deep learning has become one of remote sensing scientists' most efficient computer vision
tools in recent years. However, the lack of training labels for the remote sensing datasets …
tools in recent years. However, the lack of training labels for the remote sensing datasets …
Unsupervised domain adaptation for the semantic segmentation of remote sensing images via a class-aware Fourier transform and a fine-grained discriminator
The semantic segmentation of remote sensing images is vital for Earth observation
purposes. However, its performance can decline significantly due to differences in dataset …
purposes. However, its performance can decline significantly due to differences in dataset …
The Review of Land Use/Land Cover Map** AI Methodology and Application in the Era of Remote Sensing Big Data.
X ZHANG, Q SHI, Y SUN… - Journal of Geodesy & …, 2024 - search.ebscohost.com
With the increasing number of remote sensing satellites, the diversification of observation
modals, and the continuous advancement of artificial intelligence algorithms, historically …
modals, and the continuous advancement of artificial intelligence algorithms, historically …
A Review and Meta-analysis of Semantic Segmentation Models in Land Use/Land Cover Map**
S Ajibola, P Cabral - 2024 - preprints.org
Recent advancements in deep learning have spurred the development of numerous novel
semantic segmentation models for land cover map**, showcasing exceptional …
semantic segmentation models for land cover map**, showcasing exceptional …