Results 41 to 50 of about 118,760 (177)

A Bridge Transformer Network With Deep Graph Convolution for Hyperspectral Image Classification

CAAI Transactions on Intelligence Technology, Volume 11, Issue 2, Page 464-482, April 2026.
ABSTRACT Transformers have been widely applied to hyperspectral image classification, leveraging their self‐attention mechanism for powerful global modelling. However, two key challenges remain as follows: excessive memory and computational costs from calculating correlations between all tokens (especially as image size or spectral bands increase) and ...
Yuquan Gan, Siyu Wu, Chang Su, Nan Xiang, Zhijie Xu, Yushan Pan   +5 more
wiley   +1 more source

Superpixel Based Segmentation of Historical Document Images Using a Multiscale Texture Analysis

, 2019
International audienceIn this paper, a superpixel based segmentation of Historical Document Images (HDIs) using multiscale texture analysis is proposed. A Simple Linear Iterative Clustering (SLIC) superpixel technique and Kmeans classifier are applied in
Chaieb, Ramzi, Ramzi Chaieb, Karim Kalti, Kalti, Karim, Emna Soyed, Soyed, Emna   +5 more
core   +1 more source

Adjacent Superpixel-Based Multiscale Spatial-Spectral Kernel for Hyperspectral Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2019
The kernel-based spatial-spectral approach has been widely used for hyperspectral image (HSI) classification in recent years, where composite kernel (CK) and spatial-spectral kernel (SSK) are the most representative methods. Unlike CK, SSK measures the similarity of two clusters in kernel space to capture the hidden manifold in HSI, which has proven to
Le Sun 0002, Chenyang Ma, Yunjie Chen, Hiuk Jae Shim, Zebin Wu 0001, Byeungwoo Jeon   +5 more
openaire   +2 more sources

Building Extraction from UAV Images Jointly Using 6D-SLIC and Multiscale Siamese Convolutional Networks

Remote Sensing, 2019
Automatic building extraction using a single data type, either 2D remotely-sensed images or light detection and ranging 3D point clouds, remains insufficient to accurately delineate building outlines for automatic mapping, despite active research in this
Haiqing He, Junchao Zhou, Min Chen, Ting Chen, Dajun Li, Penggen Cheng   +5 more
doaj   +1 more source

Stereoscopic Saliency Detection for Rail Surface Defects via Global Low‐Rank Reconstruction and Depth Outlier Fusion

Electronics Letters, Volume 62, Issue 1, January/December 2026.
This letter presents an unsupervised stereoscopic saliency detection method for rail surface defects that integrates global low‐rank reconstruction with depth outlier analysis. A binocular line‐scanning system simultaneously acquires RGB images and depth maps, with a Global Low‐Rank Nonnegative Reconstruction (GLRNNR) algorithm extracting 2D saliency ...
Zhiwen Xiong, Yuanchun Li
wiley   +1 more source

MSG-SR-Net: A Weakly Supervised Network Integrating Multiscale Generation and Superpixel Refinement for Building Extraction From High-Resolution Remotely Sensed Imageries

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022
Weakly supervised semantic segmentation (WSSS) methods based on image-level labels can relieve the tedious pixel-level annotation burden, and these methods are mainly based on class activation maps (CAMs).
Xin Yan, Li Shen, Jicheng Wang, Xu Deng, Zhilin Li   +4 more
doaj   +1 more source

GCD‐Net: A Gated and Cross‐Dynamically Enhanced Network for Accurate Extraction of Offshore Raft Aquaculture

IET Image Processing, Volume 20, Issue 1, January/December 2026.
This study proposes a Gated and Cross‐Dynamically Enhanced Network (GCD‐Net) for accurate extraction of offshore raft aquaculture from Sentinel‐2 imagery. GCD‐Net integrates novel gated residual blocks, cross‐guided attention, and dynamic attention ASPP modules to enhance feature representation and boundary precision.
Yu Wang, Lianwei Li, Cunjin Xue, Zhi Zheng, Shiyu Wu   +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

Hyperspectral Classification via Superpixel Kernel Learning-Based Low Rank Representation

Remote Sensing, 2018
High dimensional image classification is a fundamental technique for information retrieval from hyperspectral remote sensing data. However, data quality is readily affected by the atmosphere and noise in the imaging process, which makes it difficult to ...
Tianming Zhan, Le Sun, Yang Xu, Guowei Yang, Yan Zhang, Zebin Wu   +5 more
doaj   +1 more source

Smart Brain Tumor Segmentation and Classification Using Inception ResNet‐V2 and Eagle Eye Vision in IoMT

Applied Computational Intelligence and Soft Computing, Volume 2026, Issue 1, 2026.
Brain tumors develop due to the unregulated proliferation of nerve tissues. Nonetheless, despite progress in deep learning models for medical image analysis, the precise segmentation of tumor patches and categorization of tumor types remain unresolved.
A. Ashwini, Emmanvel Raj M. Chirchi, V. Sheeja Kumari, P. Gururama Senthilvel, Frie Ayalew, Pramita Mishra   +5 more
wiley   +1 more source