Search Results for author: Xiuping Jia

Found 17 papers, 2 papers with code

SpectralGPT: Spectral Remote Sensing Foundation Model

no code implementations13 Nov 2023 Danfeng Hong, Bing Zhang, Xuyang Li, YuXuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jon Atli Benediktsson, Jocelyn Chanussot

The foundation model has recently garnered significant attention due to its potential to revolutionize the field of visual representation learning in a self-supervised manner.

Change Detection Representation Learning +3

Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances

no code implementations13 Sep 2023 Xiangrong Zhang, Tianyang Zhang, Guanchun Wang, Peng Zhu, Xu Tang, Xiuping Jia, Licheng Jiao

In this era of rapid technical evolution, this review aims to present a comprehensive review of the recent achievements in deep learning based RSOD methods.

Object object-detection +1

Guided Hybrid Quantization for Object detection in Multimodal Remote Sensing Imagery via One-to-one Self-teaching

1 code implementation31 Dec 2022 Jiaqing Zhang, Jie Lei, Weiying Xie, Yunsong Li, Xiuping Jia

More concretely, we first design a structure called guided quantization self-distillation (GQSD), which is an innovative idea for realizing lightweight through the synergy of quantization and distillation.

object-detection Object Detection +1

Hyperspectral Unmixing Based on Nonnegative Matrix Factorization: A Comprehensive Review

no code implementations20 May 2022 Xin-Ru Feng, Heng-Chao Li, Rui Wang, Qian Du, Xiuping Jia, Antonio Plaza

Hyperspectral unmixing has been an important technique that estimates a set of endmembers and their corresponding abundances from a hyperspectral image (HSI).

Hyperspectral Unmixing

Attention mechanism-based generative adversarial networks for cloud removal in Landsat images

no code implementations Remote Sensing of Environment 2022 Meng Xu, Furong Deng, Sen Jia, Xiuping Jia, Antonio J. Plaza

First, attention maps of the input cloudy images are generated to extract the cloud distributions and features through an attentive recurrent network.

Cloud Removal

Fusion of PCA and Segmented-PCA Domain Multiscale 2-D-SSA for Effective Spectral-Spatial Feature Extraction and Data Classification in Hyperspectral Imagery

no code implementations IEEE 2022 Hang Fu, Genyun Sun, Aizhu Zhang, Xiuping Jia

As hyperspectral imagery (HSI) contains rich spectral and spatial information, a novel principal component analysis (PCA) and segmented-PCA (SPCA)-based multiscale 2-D-singular spectrum analysis (2-D-SSA) fusion method is proposed for joint spectral–spatial HSI feature extraction and classification.

Dimensionality Reduction

Multi-Attention Generative Adversarial Network for Remote Sensing Image Super-Resolution

no code implementations14 Jul 2021 Meng Xu, Zhihao Wang, Jiasong Zhu, Xiuping Jia, Sen Jia

The main body of the generator contains two blocks; one is the pyramidal convolution in the residual-dense block (PCRDB), and the other is the attention-based upsample (AUP) block.

Generative Adversarial Network Image Super-Resolution

Pseudo Supervised Solar Panel Mapping based on Deep Convolutional Networks with Label Correction Strategy in Aerial Images

no code implementations16 Mar 2021 Jue Zhang, Xiuping Jia, Jiankun Hu

First, a convolutional neural network is trained with positive and negative samples with image-level labels.

Online Structured Sparsity-based Moving Object Detection from Satellite Videos

no code implementations29 Nov 2019 Junpeng Zhang, Xiuping Jia, Jiankun Hu, Jocelyn Chanussot

O-LSD reformulates the batch-based low-rank matrix decomposition with the structured sparse penalty to its equivalent frame-wise separable counterpart, which then defines a stochastic optimization problem for online subspace basis estimation.

Moving Object Detection object-detection +1

Error Bounded Foreground and Background Modeling for Moving Object Detection in Satellite Videos

no code implementations26 Aug 2019 Junpeng Zhang, Xiuping Jia, Jiankun Hu

It is integrated with structured sparsity regularization to achieve background subtraction in the developed method of Low-rank and Structured Sparse Decomposition (LSD).

Moving Object Detection object-detection

Effective Sequential Classifier Training for SVM-based Multitemporal Remote Sensing Image Classification

no code implementations15 Jun 2017 Yiqing Guo, Xiuping Jia, David Paull

In this study, a SVM-based Sequential Classifier Training (SCT-SVM) approach is proposed for multitemporal remote sensing image classification.

Classification General Classification +2

A New Path to Construct Parametric Orientation Field: Sparse FOMFE Model and Compressed Sparse FOMFE Model

no code implementations1 Jul 2014 Jinwei Xu, Jiankun Hu, Xiuping Jia

Orientation field, representing the fingerprint ridge structure direction, plays a crucial role in fingerprint-related image processing tasks.

A Fully Automated Latent Fingerprint Matcher with Embedded Self-learning Segmentation Module

no code implementations26 Jun 2014 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.

Dictionary Learning Self-Learning +1

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