Results 171 to 180 of about 9,095 (206)

PFS3F: Probabilistic Fusion of Superpixel-Wise and Semantic-Aware Structural Features for Hyperspectral Image Classification

IEEE transactions on circuits and systems for video technology (Print)
Processing high-dimensional data cubes and developing high-performance classifiers are core objectives in the field of hyperspectral image classification (HSIC). Superpixel-based methods are widely used in HSIC due to their efficacy in reducing redundant
Ying Zhang, Puhong Duan, Lianhui Liang, Xudong Kang, Jun Li, A. Plaza   +5 more
semanticscholar   +1 more source

EMS-GCN: An End-to-End Mixhop Superpixel-Based Graph Convolutional Network for Hyperspectral Image Classification

IEEE Transactions on Geoscience and Remote Sensing, 2022
The lack of labels is one of the major challenges in hyperspectral image (HSI) classification. Widely used Deep Learning (DL) models such as convolutional neural networks (CNNs) experience serious performance degradation when training samples are limited.
Hongyan Zhang, Jiaqi Zou, L. Zhang
semanticscholar   +1 more source

PolSAR Ship Detection Based on Superpixel-Level Contrast Enhancement

IEEE Geoscience and Remote Sensing Letters
Ship detection in polarimetric synthetic aperture radar (PolSAR) images has attracted widespread attention in recent years. However, pixel-level detection methods are heavily affected by inherent speckle noise.
Jie Deng, Wei Wang, Huiqiang Zhang, Tao Zhang, Jun Zhang   +4 more
semanticscholar   +1 more source

ESCNet: An End-to-End Superpixel-Enhanced Change Detection Network for Very-High-Resolution Remote Sensing Images

IEEE Transactions on Neural Networks and Learning Systems, 2021
Change detection (CD), as one of the central problems in Earth observation, has attracted a lot of research interest over recent decades. Due to the rapid development of satellite sensors in recent years, we have witnessed an enrichment of the CD source ...
Hongyan Zhang, Manhui Lin, Guangyi Yang, Liangpei Zhang   +3 more
semanticscholar   +1 more source

Superpixel Segmentation-Based Evolutionary Multitasking Algorithm for Feature Selection of Hyperspectral Images

IEEE Transactions on Evolutionary Computation
Feature selection (FS) is a very important technique for hyperspectral image (HSI) classification, as successfully selecting informative features can significantly increase the learning performance while reducing the computational cost.
Lingjie Li, Yuze Zhang, Qiuzhen Lin, Zhong Ming, Carlos A. Coello Coello, V. Leung   +5 more
semanticscholar   +1 more source

A Comprehensive Review and New Taxonomy on Superpixel Segmentation

ACM Computing Surveys
Superpixel segmentation consists of partitioning images into regions composed of similar and connected pixels. Its methods have been widely used in many computer vision applications, since it allows for reducing the workload, removing redundant ...
Isabela Borlido Barcelos, F. Belém, L. Joao, Zenilton K. G. Patrocínio, Alexandre X. Falcão, S. J. F. Guimarães   +5 more
semanticscholar   +1 more source

Adaptive Superpixel-Level CFAR Detector for SAR Inshore Dense Ship Detection

IEEE Geoscience and Remote Sensing Letters, 2022
Ship monitoring is an important application of synthetic aperture radar (SAR). The constant false alarm rate (CFAR) methods are commonly used for ship detection. However, CFAR detectors usually face challenges for inshore dense ship detection. Due to the
Ming-Dian Li, X. Cui, Siwei Chen
semanticscholar   +1 more source

Two-Stage Registration of SAR Images With Large Distortion Based on Superpixel Segmentation

IEEE Transactions on Geoscience and Remote Sensing
When the geometric distortion of the synthetic aperture radar (SAR) images to be registered is large, the spatial correspondence between the feature points of the two images will change significantly.
D. Xiang, Xiaoyu Pan, Huaiyue Ding, Jianda Cheng, Xiaokun Sun   +4 more
semanticscholar   +1 more source

Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images

IEEE Transactions on Geoscience and Remote Sensing, 2022
Deep subspace clustering (DSC) has achieved remarkable performances in the unsupervised classification of hyperspectral images. However, previous models based on pixel-level self-expressiveness of data suffer from the exponential growth of computational ...
Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Z. Cai, R. Gloaguen   +6 more
semanticscholar   +1 more source

Multifocus image fusion using superpixel segmentation and superpixel-based mean filtering

Applied Optics, 2016
To achieve better performance in multifocus image fusion problems, a new regional approach based on superpixels and superpixel-based mean filtering is proposed in this paper. First, a fast and effective segmentation method is adopted to generate the superpixels over a clarity-enhanced average image.
Junwei, Duan, Long, Chen, C L, Philip Chen   +2 more
openaire   +2 more sources