Hyper Spectral

Hyperspectral imaging captures detailed spectral information across a wide range of wavelengths, enabling applications in diverse fields like remote sensing and medical imaging. Current research heavily focuses on improving the reconstruction of high-quality hyperspectral images from compressed measurements, employing advanced deep learning architectures such as transformers and convolutional neural networks, often incorporating sparsity and self-attention mechanisms to enhance efficiency and accuracy. These advancements are driving improvements in image resolution, reducing computational costs, and expanding the practical applications of hyperspectral imaging in areas such as environmental monitoring, material analysis, and medical diagnostics.

Papers

June 18, 2024

Coarse-Fine Spectral-Aware Deformable Convolution For Hyperspectral Image Reconstruction
Jincheng Yang, Lishun Wang, Miao Cao, Huan Wang, Yinping Zhao, Xin Yuan
Fine Grained Deformable Convolution Data Cube Hyperspectral Image Reconstruction Hyper Spectral

June 1, 2024

Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging
Jiahua Dong, Hui Yin, Hongliu Li, Wenbo Li, Yulun Zhang, Salman Khan, Fahad Shahbaz Khan
Data Cube HSI Denoising Hyper Spectral Spectral Compressive Imaging

April 19, 2024

Linearly-evolved Transformer for Pan-sharpening
Junming Hou, Zihan Cao, Naishan Zheng, Xuan Li, Xiaoyu Chen, Xinyang Liu, Xiaofeng Cong, Man Zhou, Danfeng Hong
Linear Transformer Hyper Spectral

December 20, 2023

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging
Xin Wang, Lizhi Wang, Xiangtian Ma, Maoqing Zhang, Lin Zhu, Hua Huang
Transformer Based Hyperspectral Image Reconstruction Class Similarity Hyper Spectral Snapshot Hyperspectral Imaging Hyperspectral Image Compression

October 17, 2023

Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories
Mostafa Honari Latifpour, Byoung Jun Park, Yoshihisa Yamamoto, Myoung-Gyun Suh
Hyperspectral Image Optical Computing Hyper Spectral Quantum Comb

October 12, 2023

MLP-AMDC: An MLP Architecture for Adaptive-Mask-based Dual-Camera snapshot hyperspectral imaging
Zeyu Cai, Can Zhang, Xunhao Chen, Shanghuan Liu, Chengqian Jin, Feipeng Da
Image Reconstruction Hyperspectral Imaging Efficient Reconstruction MLP Architecture Single Scene Specific MLP Adaptive Mask Hyper Spectral

April 10, 2023

Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution
Tingting Liu, Yuan Liu, Chuncheng Zhang, Yuan Liyin, Xiubao Sui, Qian Chen
Super Resolution Hyperspectral Image Hybrid Convolutional Hyperspectral Image Super Resolution Domain Network Hyper Spectral Self Similarity

March 17, 2023

Progressive Content-aware Coded Hyperspectral Compressive Imaging
Xuanyu Zhang, Bin Chen, Wenzhen Zou, Shuai Liu, Yongbing Zhang, Ruiqin Xiong, Jian Zhang
Hyperspectral Imaging Spectral Imaging Hyper Spectral Coded Aperture Low Light HSI

October 23, 2022

An Interpretable Deep Semantic Segmentation Method for Earth Observation
Ziyang Zhang, Plamen Angelov, Eduardo Soares, Nicolas Longepe, Pierre Philippe Mathieu
Semantic Segmentation Interpretable Segmentation Hyper Spectral

October 7, 2022

Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review
Seyed Mojtaba Marvasti-Zadeh, Devin Goodsman, Nilanjan Ray, Nadir Erbilgin
Machine Learning Narrative Review Remote Sensing Early Detection Spectral Signature Vegetation Index Hyper Spectral Spectral Band Bark Beetle

June 19, 2022

Agricultural Plantation Classification using Transfer Learning Approach based on CNN
Uphar Singh, Tushar Musale, Ranjana Vyas, O. P. Vyas
CNN Network Convolutional Neural Network Model Multi Layer Perceptron Transfer Learning Approach Hyper Spectral

June 12, 2022

A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors
Qile Zhao, Xianhong Zhao, Xu Ma, Xudong Chen, Gonzalo R. Arce
Sparsity Increase Compressed Sensing Deep Image Prior Spectral Imaging Alternating Minimization Hyper Spectral Aperture Snapshot Advanced Spectral Processing Technique

June 11, 2022

A Simplified Un-Supervised Learning Based Approach for Ink Mismatch Detection in Handwritten Hyper-Spectral Document Images
Muhammad Farhan Humayun, Hassan Waseem Malik, Ahmed Ahsan Alvi
Unsupervised Learning Forgery Detection Handwritten Document Spectral Image Hyper Spectral Ink Analysis

March 21, 2022

On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging
Klaas Dijkstra, Maya Aghaei, Femke Jaarsma, Martin Dijkstra, Rudy Folkersma, Jan Jager, Jaap van de Loosdrecht
Mixed Effect Hyperspectral Image Model Complexity Pre Processing Hyper Spectral

March 9, 2022

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool
Hyperspectral Image Reconstruction Hyper Spectral

Hyper Spectral

Papers

Coarse-Fine Spectral-Aware Deformable Convolution For Hyperspectral Image Reconstruction

Dual Hyperspectral Mamba for Efficient Spectral Compressive Imaging

Linearly-evolved Transformer for Pan-sharpening

In2SET: Intra-Inter Similarity Exploiting Transformer for Dual-Camera Compressive Hyperspectral Imaging

Hyperspectral In-Memory Computing with Optical Frequency Combs and Programmable Optical Memories

MLP-AMDC: An MLP Architecture for Adaptive-Mask-based Dual-Camera snapshot hyperspectral imaging

Hyperspectral Image Super-Resolution via Dual-domain Network Based on Hybrid Convolution

Progressive Content-aware Coded Hyperspectral Compressive Imaging

An Interpretable Deep Semantic Segmentation Method for Earth Observation

Early Detection of Bark Beetle Attack Using Remote Sensing and Machine Learning: A Review

Agricultural Plantation Classification using Transfer Learning Approach based on CNN

A Fast Alternating Minimization Algorithm for Coded Aperture Snapshot Spectral Imaging Based on Sparsity and Deep Image Priors

A Simplified Un-Supervised Learning Based Approach for Ink Mismatch Detection in Handwritten Hyper-Spectral Document Images

On the Effect of Pre-Processing and Model Complexity for Plastic Analysis Using Short-Wave-Infrared Hyper-Spectral Imaging

Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction