Enhanced Lightweight End-to-End Semantic Segmentation for High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3182370
Abstract: Deep learning based methods have shown promising performance in semantic segmentation of high-resolution remote sensing (HRRS) images. However, due to the multi-scale property and complexity of HRRS images, it still faces many challenges in tackling… read more here.
Keywords: end end; segmentation high; segmentation; end ... See more keywords
CFNet: An Eigenvalue Preserved Approach to Multiscale Building Segmentation in High-Resolution Remote Sensing Images
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2023.3244336
Abstract: In recent years, AI and deep learning (DL) methods have been widely used for object classification, recognition, and segmentation of high-resolution multispectral remote sensing images. These DL-based solutions perform better compared with the traditional spectral… read more here.
Keywords: remote sensing; high resolution; segmentation high; resolution ... See more keywords
Objects Segmentation From High-Resolution Aerial Images Using U-Net With Pyramid Pooling Layers
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2018.2868880
Abstract: Extracting manufactured features such as buildings, roads, and water from aerial images is critical for urban planning, traffic management, and industrial development. Recently, convolutional neural networks (CNNs) have become a popular strategy to capture contextual… read more here.
Keywords: pyramid pooling; objects segmentation; pooling layers; data sets ... See more keywords
End-to-End DSM Fusion Networks for Semantic Segmentation in High-Resolution Aerial Images
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2019.2907009
Abstract: Semantic segmentation in high-resolution aerial images is a fundamental research problem in remote sensing field for its wide range of applications. However, it is difficult to distinguish regions with similar spectral features using only multispectral… read more here.
Keywords: end; high resolution; fusion; segmentation high ... See more keywords
MP-ResNet: Multipath Residual Network for the Semantic Segmentation of High-Resolution PolSAR Images
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2021.3079925
Abstract: There are limited studies on the semantic segmentation of high-resolution polarimetric synthetic aperture radar (PolSAR) images due to the scarcity of training data and the complexity of managing speckle noise. The Gaofen contest has provided… read more here.
Keywords: segmentation high; semantic segmentation; segmentation; polsar images ... See more keywords
Semantic Segmentation for High-Resolution Remote-Sensing Images via Dynamic Graph Context Reasoning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3145499
Abstract: Semantic segmentation for high-resolution remote-sensing (HRRS) images is one of the most challenging tasks in remote-sensing images understanding. Capturing long-range dependencies in feature representations is crucial for semantic segmentation. Recent graph-based global reasoning networks (GloRe)… read more here.
Keywords: remote sensing; high resolution; segmentation high; resolution remote ... See more keywords