Hyperspectral Remote Sensing

Hyperspectral remote sensing utilizes imagery containing hundreds of narrow spectral bands to identify materials on Earth's surface with high precision, primarily aiming for accurate classification and object detection. Current research heavily focuses on improving classification accuracy through advanced deep learning architectures, such as convolutional neural networks (CNNs), transformers, and hybrid models combining their strengths, often incorporating techniques like band selection and pansharpening to enhance data quality. These advancements are significantly impacting various fields, including agriculture (crop type identification), archaeology (detecting subsurface features), and environmental monitoring (oil spill detection), by providing more detailed and reliable information from remotely sensed data.

Papers

October 11, 2024

Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors
Alyazia Al Shamsi, Alavikunhu Panthakkan, Saeed Al Mansoori, Hussain Al Ahmad
Comparative Study Optical System Maritime Surveillance Ship Detection Hyperspectral Sensor Hyperspectral Remote Sensing Maritime Domain

July 7, 2024

HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter
Valeriy Lobanov, Nikita Firsov, Evgeny Myasnikov, Roman Khabibullin, Artem Nikonorov
Convolutional Neural Network Kolmogorov Arnold Network Hyperspectral Image Classification Hyperspectral Datasets Hyperspectral Remote Sensing

June 20, 2024

CMTNet: Convolutional Meets Transformer Network for Hyperspectral Images Classification
Faxu Guo, Quan Feng, Sen Yang, Wanxia Yang
Hyperspectral Image Hyperspectral Image Classification Hyperspectral Data CNN Transformer Crop Classification Hyperspectral Remote Sensing

April 8, 2024

Pansharpening of PRISMA products for archaeological prospection
Gregory Sech, Giulio Poggi, Marina Ljubenovic, Marco Fiorucci, Arianna Traviglia
Remote Sensing Pansharpening Hyperspectral Remote Sensing Prisma Satellite Mission

August 29, 2023

Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery
Hengwei Zhao, Xinyu Wang, Jingtao Li, Yanfei Zhong
LeArning Abstract Natural Gradient Hyperspectral Image Classification Class Prior Pu Learning Hyperspectral Remote Sensing Variational Loss

January 17, 2023

Training Methods of Multi-label Prediction Classifiers for Hyperspectral Remote Sensing Images
Salma Haidar, José Oramas
Training Method Patch Level Multilabel Classification Pixel Classification Hyperspectral Remote Sensing

October 27, 2022

September 28, 2022

Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector
Puhong Duan, Xudong Kang, Pedram Ghamisi
Hyperspectral Image Unsupervised Detection Social Isolation Hyperspectral Benchmark Hyperspectral Remote Sensing Oil Spill Detection

July 21, 2022

Classifying Crop Types using Gaussian Bayesian Models and Neural Networks on GHISACONUS USGS data from NASA Hyperspectral Satellite Imagery
Bill Basener
Neural Network Hyperspectral Image Crop Breeding Crop Classification Spectroscopic Data Hyperspectral Remote Sensing

May 19, 2022

Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification
Mohammad Joshaghani, Amirabbas Davari, Faezeh Nejati Hatamian, Andreas Maier, Christian Riess
Convolutional Neural Network Image Classification Bayesian Neural Network Hyperspectral Image Classification Bayesian Convolutional Hyperspectral Remote Sensing

February 2, 2022

Dictionary learning for clustering on hyperspectral images
Joshua Bruton, Hairong Wang
Unsupervised Learning Hyperspectral Image Dictionary Learning French Dictionary Hyperspectral Remote Sensing Unsupervised Feature Learning

Hyperspectral Remote Sensing

Papers

Advancements in Ship Detection: Comparative Analysis of Optical and Hyperspectral Sensors

HyperKAN: Kolmogorov-Arnold Networks make Hyperspectral Image Classificators Smarter

CMTNet: Convolutional Meets Transformer Network for Hyperspectral Images Classification

Pansharpening of PRISMA products for archaeological prospection

Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery

Training Methods of Multi-label Prediction Classifiers for Hyperspectral Remote Sensing Images

A Novel Filter Approach for Band Selection and Classification of Hyperspectral Remotely Sensed Images Using Normalized Mutual Information and Support Vector Machines

Supervised classification methods applied to airborne hyperspectral images: Comparative study using mutual information

Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector

Classifying Crop Types using Gaussian Bayesian Models and Neural Networks on GHISACONUS USGS data from NASA Hyperspectral Satellite Imagery

Bayesian Convolutional Neural Networks for Limited Data Hyperspectral Remote Sensing Image Classification

Dictionary learning for clustering on hyperspectral images