Results 181 to 190 of about 9,095 (206)

Superpixel-Based Weak Biological Feature Echo Extraction Method for Weather Radar

IEEE Transactions on Geoscience and Remote Sensing
Accurately extracting biological echoes is a fundamental prerequisite for weather radar aeroecology monitoring. However, the concurrent presence of meteorological echoes and biological echoes greatly restricts the extraction accuracy.
Cheng Hu, Zujing Yan, Kai Cui, Rui Wang, Jingmin Zhang, Zhuoran Sun, Dongli Wu   +6 more
semanticscholar   +1 more source

Multilevel Superpixel Structured Graph U-Nets for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2021
Limited by the shape-fixed kernels, convolutional neural networks (CNNs) are usually difficult to model difform land covers in hyperspectral images (HSIs), leading to inadequate land use.
Qichao Liu, Liang Xiao, Jingxiang Yang, Zhihui Wei   +3 more
semanticscholar   +1 more source

Superpixels With Content-Adaptive Criteria

IEEE Transactions on Image Processing, 2021
Superpixels are widely used in computer vision applications. Most of the existing superpixel methods use established criteria to indiscriminately process all pixels, resulting in superpixel boundary adherence and regularity being unnecessarily inter-inhibitive.
Ye Yuan, Wei Zhang, Hai Yu, Zhiliang Zhu
openaire   +2 more sources

BAMS-FE: Band-by-Band Adaptive Multiscale Superpixel Feature Extraction for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2023
Superpixel segmentation has emerged as a prominent approach for simultaneous extraction of spatial–spectral features in hyperspectral imagery, exhibiting considerable efficacy in this domain. Although effective in spatial spectrum feature extraction, the
Jianmeng Li, H. Sheng, Mingming Xu, Shanwei Liu, Zhe Zeng   +4 more
semanticscholar   +1 more source

ESNet: An Efficient Framework for Superpixel Segmentation

IEEE transactions on circuits and systems for video technology (Print)
Superpixel segmentation divides an original image into mid-level regions to reduce the number of computational primitives for subsequent tasks. The two-stage approaches work better but have high computational complexity among the existing deep superpixel
Sen Xu, Shikui Wei, Tao Ruan, Yao Zhao
semanticscholar   +1 more source

SPFormer: Enhancing Vision Transformer with Superpixel Representation

Trans. Mach. Learn. Res.
In this work, we introduce SPFormer, a novel Vision Transformer enhanced by superpixel representation. Addressing the limitations of traditional Vision Transformers' fixed-size, non-adaptive patch partitioning, SPFormer employs superpixels that adapt to ...
Jieru Mei, Liang-Chieh Chen, Alan L. Yuille, Cihang Xie   +3 more
semanticscholar   +1 more source

Superpixel-Based Graph Laplacian Regularized and Weighted Robust Sparse Unmixing

IEEE Transactions on Geoscience and Remote Sensing
The sparse unmixing (SU) technique is widely used in hyperspectral image (HSI) unmixing because it does not need to estimate the number of pure endmembers but directly obtains the spectra from known spectral libraries to construct the endmember matrix ...
Xin Zou, Mingming Xu, Shanwei Liu, Hui Sheng   +3 more
semanticscholar   +1 more source

Spherical superpixel segmentation

2016 IEEE International Conference on Multimedia and Expo (ICME), 2016
In this paper, we present a superpixel generation method for spherical images, which cover 360° field-of-view. Unlike previous works that directly use existing superpixel algorithms on unrolled spherical images, our approach explicitly considers the geometry for spherical images and uses sphere as the underlying representation.
Qiang Zhao, Liang Wan, Jiawan Zhang
openaire   +1 more source

Irregular Tensor Representation for Superpixel- Guided Hyperspectral Image Denoising

IEEE Geoscience and Remote Sensing Letters, 2023
Recently, due to the ability to exploit perceptual information, superpixel-based methods have received attention for hyperspectral image (HSI) denoising.
Yi-Jie Pan, Chun Wen, Xile Zhao, Meng Ding, Jie Lin, Ya-Ru Fan   +5 more
semanticscholar   +1 more source

Superpixel Endmember Detection

IEEE Transactions on Geoscience and Remote Sensing, 2010
Superpixels are homogeneous image regions comprised of multiple contiguous pixels. Superpixel representations can reduce noise in hyperspectral images by exploiting the spatial contiguity of scene features. This paper combines superpixels with endmember extraction to produce concise mineralogical summaries that assist in browsing large image catalogs ...
David R. Thompson, Lukas Mandrake, Martha S. Gilmore, Rebecca Castano   +3 more
openaire   +1 more source