LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "detection hyperspectral" as a keyword



Photo from wikipedia

Landmine detection in hyperspectral images based on pixel intensity

Sign Up to like & get
recommendations! Published in 2021 at "Remote Sensing Applications: Society and Environment"

DOI: 10.1016/j.rsase.2021.100468

Abstract: Abstract Hyperspectral imaging is a technique used to collect the same scene with different wavelengths, achieving both high spectral and spatial resolution. Hyperspectral imaging plays an important role in several scenarios involving target detection, among… read more here.

Keywords: based pixel; images based; hyperspectral images; detection hyperspectral ... See more keywords
Photo by bermixstudio from unsplash

Anomaly Detection in Hyperspectral Images via Regularization by Denoising

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2022.3209101

Abstract: In a recent work, Fu et al. (2021) proposed an anomaly detector (AD) for hyperspectral images called DeCNN-AD, which decomposes the image in a low rank representation of the background and the anomalies. DeCNN-AD is… read more here.

Keywords: detection hyperspectral; regularization denoising; anomaly detection; hyperspectral images ... See more keywords
Photo by hajjidirir from unsplash

Target Detection in Hyperspectral Imagery Using Atmospheric-Spectral Modeling and Deep Learning

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3215576

Abstract: Target detection (TD) in spectral imagery is an evolving analytical perspective with broader application potential. The perceived distinctness of the spectral signatures of the materials of interest is exploited for detecting targets in hyperspectral imagery.… read more here.

Keywords: detection hyperspectral; target detection; deep learning; hyperspectral imagery ... See more keywords
Photo by namroud from unsplash

CNN-Based Salient Object Detection on Hyperspectral Images Using Extended Morphology

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3220601

Abstract: Salient object detection in hyperspectral images (HSIs) is of interest in various image processing and computer vision applications. Many studies considering spectral information have been reported, extracting only low-level features from a HSI. This letter… read more here.

Keywords: detection hyperspectral; salient object; hyperspectral images; object detection ... See more keywords
Photo by joshbrown from unsplash

Saliency-Based Endmember Detection for Hyperspectral Imagery

Sign Up to like & get
recommendations! Published in 2018 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2018.2805340

Abstract: This paper focuses on the endmember extraction (EE) technique for analyzing hyperspectral images. We first prove that the reconstruction errors (REs) and abundance anomalies (AAs) (abundances that fail to satisfy the abundance constraints) are effective… read more here.

Keywords: saliency; endmember detection; based endmember; detection hyperspectral ... See more keywords
Photo from wikipedia

Learning Multiscale Temporal-Spatial-Spectral Features via a Multi-path Convolutional LSTM Neural Network for Change Detection with Hyperspectral Images

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3176642

Abstract: Change detection (CD) with hyperspectral images (HSIs) can be effectively performed using deep learning networks (DLN) by taking advantages of HSIs for their abundant spectral and spatial information and the excellent performance of DLN in… read more here.

Keywords: change detection; spatial spectral; detection hyperspectral; lstm ... See more keywords

Improved target detection for hyperspectral images using hybrid in-scene calibration

Sign Up to like & get
recommendations! Published in 2017 at "Journal of Applied Remote Sensing"

DOI: 10.1117/1.jrs.11.035010

Abstract: Abstract. This paper presents a practical approach to target detection for hyperspectral images. In target detection, it is normally assumed that the ground truth target signatures collected in a laboratory are available and one then… read more here.

Keywords: scene; compensation; target detection; target ... See more keywords