CCENet: Cascade Class-Aware Enhanced Network for High-Resolution Aerial Imagery Semantic Segmentation

CCENet: Cascade Class-Aware Enhanced Network for High-Resolution Aerial Imagery Semantic Segmentation

Semantic segmentation of high-resolution aerial images is a challenging task on account of interclass homogeneity and intraclass heterogeneity of land cover. Recent works have sought to mitigate this issue by exploiting pixelwise global contextual information using self-attention mechanism. However,...

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Bibliographic Details
Main Authors: Qixiong Wang, Xiaoyan Luo, Jiaqi Feng, Sen Li, Jihao Yin
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Aerial imagery
class context information
deep convolution neural networks
self-attention mechanism
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/9860031/

Internet

https://ieeexplore.ieee.org/document/9860031/

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