185 citations · 667 across the 14 of their papers we have counts for
14 papers
SMamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification
Guanchun Wang, Xiangrong Zhang, Zelin Peng +2
Land cover analysis using hyperspectral images (HSI) remains an open problem due to their low spatial resolution and complex spectral information. Recent studies are primarily dedi…
Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching
Jiaqing Zhang, Jie Lei, Weiying Xie +2
Considering the computation complexity, we propose a Guided Hybrid Quantization with One-to-one Self-Teaching (GHOST}) framework. More concretely, we first design a structure calle…
Pair-Relationship Modeling for Latent Fingerprint Recognition
Yanming Zhu, Xuefei Yin, Xiuping Jia +1
Latent fingerprints are important for identifying criminal suspects. However, recognizing a latent fingerprint in a collection of reference fingerprints remains a challenge. Most,…
Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review
Xin-Ru Feng, Heng-Chao Li, Rui Wang +3
Hyperspectral unmixing has been an important technique that estimates a set of endmembers and their corresponding abundances from a hyperspectral image (HSI). Nonnegative matrix fa…
Dual-Stage Approach Toward Hyperspectral Image Super-Resolution
Qiang Li, Yuan Yuan, Xiuping Jia +1
Hyperspectral image produces high spectral resolution at the sacrifice of spatial resolution. Without reducing the spectral resolution, improving the resolution in the spatial doma…
Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution
Meng Xu, Zhihao Wang, Jiasong Zhu +2
Image super-resolution (SR) methods can generate remote sensing images with high spatial resolution without increasing the cost, thereby providing a feasible way to acquire high-re…
An Attention-Fused Network for Semantic Segmentation of Very-High-Resolution Remote Sensing Imagery
Xuan Yang, Shanshan Li, Zhengchao Chen +5
Semantic segmentation is an essential part of deep learning. In recent years, with the development of remote sensing big data, semantic segmentation has been increasingly used in r…
Pseudo Supervised Solar Panel Mapping based on Deep Convolutional Networks with Label Correction Strategy in Aerial Images
Jue Zhang, Xiuping Jia, Jiankun Hu
Solar panel mapping has gained a rising interest in renewable energy field with the aid of remote sensing imagery. Significant previous work is based on fully supervised learning w…
Online Structured Sparsity-based Moving Object Detection from Satellite Videos
Junpeng Zhang, Xiuping Jia, Jiankun Hu +1
Inspired by the recent developments in computer vision, low-rank and structured sparse matrix decomposition can be potentially be used for extract moving objects in satellite video…
Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos
Junpeng Zhang, Xiuping Jia, Jiankun Hu
Detecting moving objects from ground-based videos is commonly achieved by using background subtraction techniques. Low-rank matrix decomposition inspires a set of state-of-the-art…
Conditional Random Field and Deep Feature Learning for Hyperspectral Image Segmentation
Fahim Irfan Alam, Jun Zhou, Alan Wee-Chung Liew +3
Image segmentation is considered to be one of the critical tasks in hyperspectral remote sensing image processing. Recently, convolutional neural network (CNN) has established itse…
Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification
Yiqing Guo, Xiuping Jia, David Paull
The explosive availability of remote sensing images has challenged supervised classification algorithms such as Support Vector Machines (SVM), as training samples tend to be highly…
A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model and Compressed Sparse FOMFE Model
Jinwei Xu, Jiankun Hu, Xiuping Jia
Orientation field, representing the fingerprint ridge structure direction, plays a crucial role in fingerprint-related image processing tasks. Orientation field is able to be const…
A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module
Jinwei Xu, Jiankun Hu, Xiuping Jia
Latent fingerprint has the practical value to identify the suspects who have unintentionally left a trace of fingerprint in the crime scenes. However, designing a fully automated l…