activity
20172026
most citedDeep Learning for Hyperspectral Image Classification: An Overview

1.9k citations · 6.2k across the 72 of their papers we have counts for

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Showing 2024Show all

10 papers · 1 filter

cs.CV2024★ 20 cited

Mask Approximation Net: A Novel Diffusion Model Approach for Remote Sensing Change Captioning

Dongwei Sun, Jing Yao, Wu Xue +3

Remote sensing image change description represents an innovative multimodal task within the realm of remote sensing processing.This task not only facilitates the detection of alter…

cs.CV2024★ 3 cited

ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing

Yuduo Wang, Weikang Yu, Michael Kopp +1

Recent advancements in Remote Sensing (RS) for Change Detection (CD) and Change Captioning (CC) have seen substantial success by adopting deep learning techniques. Despite these ad…

cs.CV2024

MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery

Weikang Yu, Xiaokang Zhang, Xiao Xiang Zhu +2

Monitoring changes triggered by mining activities is crucial for industrial controlling, environmental management and regulatory compliance, yet it poses significant challenges due…

cs.CV2024★ 3 cited

How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification

Ali Jamali, Swalpa Kumar Roy, Danfeng Hong +2

Convolutional Neural Networks (CNNs) and vision transformers (ViTs) have shown excellent capability in complex hyperspectral image (HSI) classification. However, these models requi…

cs.CV2024★ 3 cited

HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model

Hang Fu, Genyun Sun, Yinhe Li +4

Haze contamination in hyperspectral remote sensing images (HSI) can lead to spatial visibility degradation and spectral distortion. Haze in HSI exhibits spatial irregularity and in…

cs.CV2024★ 2 cited

Responsible AI for Earth Observation

Pedram Ghamisi, Weikang Yu, Andrea Marinoni +9

The convergence of artificial intelligence (AI) and Earth observation (EO) technologies has brought geoscience and remote sensing into an era of unparalleled capabilities. AI's tra…

cs.CV2024★ 2 cited

Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data

Yonghao Xu, Pedram Ghamisi, Yannis Avrithis

Multi-target unsupervised domain adaptation (UDA) aims to learn a unified model to address the domain shift between multiple target domains. Due to the difficulty of obtaining anno…

cs.CV2024★ 32 cited

MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification

Weikang Yu, Xiaokang Zhang, Samiran Das +2

Change detection (CD) from remote sensing (RS) images using deep learning has been widely investigated in the literature. It is typically regarded as a pixel-wise labeling task tha…

cs.CV2024★ 52 cited

Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives

Yidan Liu, Jun Yue, Shaobo Xia +3

As a newly emerging advance in deep generative models, diffusion models have achieved state-of-the-art results in many fields, including computer vision, natural language processin…

cs.CV2024

PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards

Elias Arbash, Margret Fuchs, Behnood Rasti +3

Addressing the critical theme of recycling electronic waste (E-waste), this contribution is dedicated to developing advanced automated data processing pipelines as a basis for deci…