Results 71 to 80 of about 112,589 (145)

SHCFN: Superpixel-Based Hybrid Cooperative Fusion Network for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Graph-based methods demonstrate superior ability in capturing non-Euclidean relationships among pixels, thereby making them particularly appropriate for applications in hyperspectral image classification (HSIC). However, these methods encounter excessive
Haimiao Ge, Zhigao Xu, Haizhu Pan, Bopeng Ren, Dan Lv, Chunyu Zhang   +5 more
doaj   +1 more source

Hyperspectral imagery quality assessment and band reconstruction using the prophet model

CAAI Transactions on Intelligence Technology, Volume 10, Issue 1, Page 47-61, February 2025.
Abstract In Hyperspectral Imaging (HSI), the detrimental influence of noise and distortions on data quality is profound, which has severely affected the following‐on analytics and decision‐making such as land mapping. This study presents an innovative framework for assessing HSI band quality and reconstructing the low‐quality bands, based on the ...
Ping Ma, Jinchang Ren, Zhi Gao, Yinhe Li, Rongjun Chen   +4 more
wiley   +1 more source

Superpixel-Level Weighted Label Propagation for Hyperspectral Image Classification

, 2020
As a typical graph-based semisupervised learning technique, the label propagation (LP) approach has gained much attention in recent years. The key to LP algorithms is the propagation capability and efficiency of the similarity matrix, which describes the
Jia, Sen, Zhou, Jun, Deng, Xianglong, Jia, Xiuping, Xu, Meng   +4 more
core   +1 more source

Multiscale Superpixelwise Locality Preserving Projection for Hyperspectral Image Classification

Applied Sciences, 2019
Manifold learning is a powerful dimensionality reduction tool for a hyperspectral image (HSI) classification to relieve the curse of dimensionality and to reveal the intrinsic low-dimensional manifold.
Lin He, Xianjun Chen, Jun Li, Xiaofeng Xie   +3 more
doaj   +1 more source

Multiscale NMF based on intra-pixel and inter-pixel structure adjustment for spectral unmixing

International Journal of Applied Earth Observations and Geoinformation
Various improved nonnegative matrix factorization (NMF) methods have been widely used in spectral unmixing (SU), including nonlinear versions to counter for the lower spatial resolution and interaction between materials.
Tingting Yang, Meiping Song, Sen Li, Haimo Bao   +3 more
doaj   +1 more source

USNet: underwater image superpixel segmentation via multi-scale water-net

Frontiers in Marine Science
Underwater images commonly suffer from a variety of quality degradations, such as color casts, low contrast, blurring details, and limited visibility.
Chuhong Wang, Chuhong Wang, Wenli Duan, Chengche Luan, Junyan Liang, Lengyu Shen, Hua Li   +6 more
doaj   +1 more source

From Global to Local: A Dual-Branch Structural Feature Extraction Method for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Extracting discriminative spectral-spatial features from hyperspectral images (HSIs) remains a crucial topic within the remote sensing community. However, most feature extraction methods suffer from coarse textures, leading to poor performance in ...
Ying Zhang, Lianhui Liang, Jianxu Mao, Yaonan Wang, Lin Jia   +4 more
doaj   +1 more source

Spatial Multifeature and Dual-Layer Multihop Graph Convolution Networks for Hyperspectral Image Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral image (HSI) classification constitutes a crucial research direction within the domain of remote sensing. Convolutional neural networks (CNNs) and graph convolutional network (GCN) have exhibited outstanding classification performance in ...
Xiangyue Yu, Ning Li, Di Wu, Zheng Li, Zhenyuan Wu, Ximing Ma   +5 more
doaj   +1 more source

Superpixel Optimization Using Higher Order Energy

, 2016
A novel superpixel extraction algorithm using a higher order energy optimization framework is proposed in this paper. We first adopt the k-means clustering technique to quickly get an initial superpixel result.
Li, Xuelong, Shen, Jianbing, Yao, Angela, Peng, Jianteng   +3 more
core   +1 more source

The spectrum of the force-based quasicontinuum operator for a homogeneous periodic chain [PDF]

, 2012
We show under general conditions that the linearized force-based quasicontinuum (QCF) operator has a real, positive spectrum. The spectrum is identical to that of the quasinonlocal quasicontinuum (QNL) operator in the case of second-neighbor interactions.
Ortner, C., Ortner, Christoph, Dobson, M., Shapeev, A. V., Dobson, Matthew   +4 more
core   +1 more source