Results 51 to 60 of about 7,130 (165)
Multi-Scale CNN Based Garbage Detection of Airborne Hyperspectral Data
IEEE Access, 2019 Garbage detection is important for environmental monitoring in large areas. However, the manual patrol is time-consuming and labor-intensive. This paper proposes a method for monitoring garbage distribution in large areas with airborne hyperspectral data.
Dan Zeng +3 more
doaj +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 This article proposed a novel spectral-spatial classification framework for hyperspectral image (HSI) through combining collaborative representation (CR) and maximum margin projection (MMP).
Haoyang Yu +6 more
doaj +1 more source
SuperPCA: A Superpixelwise PCA Approach for Unsupervised Feature Extraction of Hyperspectral Imagery
, 2018 As an unsupervised dimensionality reduction method, principal component analysis (PCA) has been widely considered as an efficient and effective preprocessing step for hyperspectral image (HSI) processing and analysis tasks.
Cai, Zhihua +5 more
core +1 more source
Remote Sensing of Endogenous Pigmentation by Inducible Synthetic Circuits in Grasses
Plant Biotechnology Journal, EarlyView.ABSTRACT Plant synthetic biology holds great promise for engineering plants to meet future demands. Genetic circuits are being designed, built and tested in plants to demonstrate the proof of concept. However, developing these components in monocots, which the world relies on for grain, lags behind dicot models, such as Arabidopsis thaliana and ...
Dong‐Yeon Lee +13 more
wiley +1 more source
Spectral Unmixing with Multiple Dictionaries
, 2017 Spectral unmixing aims at recovering the spectral signatures of materials, called endmembers, mixed in a hyperspectral or multispectral image, along with their abundances.
Cohen, Jeremy E., Gillis, Nicolas
core +2 more sources
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Sequential Dimensionality Reduction for Extracting Localized Features
, 2016 Linear dimensionality reduction techniques are powerful tools for image analysis as they allow the identification of important features in a data set. In particular, nonnegative matrix factorization (NMF) has become very popular as it is able to extract ...
Casalino, Gabriella, Gillis, Nicolas
core +1 more source
Spectroscopic Methods of Edible Flower Authentication and Quality Control for Food Applications
eFood, Volume 7, Issue 1, February 2026.The global demand for edible flowers has increased. Issues such as incorrect species identification, flower product adulteration, contamination, and quality degradation necessitate the application of proper methods for authenticating and controlling the product's quality.
Fidele Benimana +3 more
wiley +1 more source
WTL-I: Mutual Information-Based Wavelet Transform Learning for Hyperspectral Imaging
Frontiers in Signal Processing, 2022 Hyperspectral imaging (HSI) is useful in many applications, including healthcare, geosciences, and remote surveillance. In general, the HSI data set is large.
Shiv Gehlot +2 more
doaj +1 more source
GETNET: A General End-to-end Two-dimensional CNN Framework for Hyperspectral Image Change Detection
, 2019 Change detection (CD) is an important application of remote sensing, which provides timely change information about large-scale Earth surface. With the emergence of hyperspectral imagery, CD technology has been greatly promoted, as hyperspectral data ...
Du, Qian +9 more
core +1 more source