Articles with "multispectral images" as a keyword



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Forest mapping: a comparison between hyperspectral and multispectral images and technologies

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Published in 2017 at "Journal of Forestry Research"

DOI: 10.1007/s11676-017-0528-y

Abstract: Mapping forests is an important process in managing natural resources. At present, due to spectral resolution limitations, multispectral images do not give a complete separation between different forest species. In contrast, advances in remote sensing… read more here.

Keywords: forest mapping; multispectral images; hyperspectral multispectral; spectral signatures ... See more keywords
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Measuring Spectral Inconsistency of Multispectral Images for Detection and Segmentation of Retinal Degenerative Changes

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Published in 2017 at "Scientific Reports"

DOI: 10.1038/s41598-017-11730-y

Abstract: Multispectral imaging (MSI) creates a series of en-face fundus spectral sections by leveraging an extensive range of discrete monochromatic light sources and allows for an examination of the retina’s early morphologic changes that are not… read more here.

Keywords: measuring spectral; inconsistency; msi; multispectral images ... See more keywords
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Change detection in multispectral images based on multiband structural information

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Published in 2018 at "Remote Sensing Letters"

DOI: 10.1080/2150704x.2018.1516310

Abstract: ABSTRACT Change vector analysis (CVA) and spectral angle mapper (SAM) are usually used to generate difference image in change detection of multispectral images. Although CVA and SAM can describe the difference between multispectral images, they… read more here.

Keywords: structural information; multiband structural; multispectral images; change detection ... See more keywords
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Classification of VHR Multispectral Images Using ExtraTrees and Maximally Stable Extremal Region-Guided Morphological Profile

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Published in 2018 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2018.2824354

Abstract: Pixel-based contextual classification methods, including morphological profiles (MPs), extended MPs, attribute profiles (APs), and MPs with partial reconstruction (MPPR), have shown the benefits of using geometrical features extracted from very-high resolution (VHR) images. However, the… read more here.

Keywords: stable extremal; classification; multispectral images; maximally stable ... See more keywords
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Evaluation on Spaceborne Multispectral Images, Airborne Hyperspectral, and LiDAR Data for Extracting Spatial Distribution and Estimating Aboveground Biomass of Wetland Vegetation Suaeda salsa

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Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2018.2886046

Abstract: Suaeda salsa (S. salsa) has a significant protective effect on salt marshes in coastal wetlands. In this study, the abilities of airborne multispectral images, spaceborne hyperspectral images, and LiDAR data in spatial distribution extraction and… read more here.

Keywords: salsa italic; lidar data; multispectral images; estimation ... See more keywords
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Fusion of Hyperspectral and Multispectral Images Based on a Bayesian Nonparametric Approach

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Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2019.2902847

Abstract: This paper presents a new approach to fusion of hyperspectral and multispectral images based on Bayesian nonparametric sparse representation. The approach formulates the image fusion problem within a constrained optimization framework, while assuming that the… read more here.

Keywords: fusion hyperspectral; hyperspectral multispectral; approach; bayesian nonparametric ... See more keywords
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Analyzing the Saturation of Growing Stem Volume Based on ZY-3 Stereo and Multispectral Images in Planted Coniferous Forest

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Published in 2022 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3131812

Abstract: Recently, remote sensing (RS) technology are becoming an increasingly important technology in estimating forest growing stem volume (GSV), and the saturation issue of spectral variables from various optical sensors severely hinders the improvement of mapping… read more here.

Keywords: growing stem; saturation; gsv; saturation levels ... See more keywords
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Building Detection From Panchromatic and Multispectral Images With Dual-Stream Asymmetric Fusion Networks

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Published in 2023 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2023.3261866

Abstract: Building detection from panchromatic (PAN) and multispectral (MS) images is an essential task for many practical applications. In this article, a dual-stream asymmetric fusion network is proposed, named DAFNet. DAFNet can achieve effective information fusion… read more here.

Keywords: building detection; fusion; stream; detection ... See more keywords
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Unsupervised Multiple Change Detection for Multispectral Images Based on AMMF and SpatioSpectral Channel Augmentation

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3074423

Abstract: Due to the difficulty and time-consuming of labeling ground truth map in practical situations, unsupervised multiple change detection (MCD) for multispectral images (MSIs) have attracted much attention in recent years. One possible strategy to obtain… read more here.

Keywords: change detection; unsupervised multiple; multiple change; change ... See more keywords
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Spatiotemporal-Spectral Fusion for Gaofen-1 Satellite Images

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2021.3111961

Abstract: Due to the limitations of hardware technology, satellite sensors cannot obtain images with high temporal, spatial, and spectral resolutions at the same time. Current spatiotemporal fusion methods try to solve the contradiction between temporal resolution… read more here.

Keywords: gaofen satellite; fusion; multispectral images; spectral fusion ... See more keywords

Reliable Line Segment Matching for Multispectral Images Guided by Intersection Matches

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Published in 2019 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2018.2873807

Abstract: Accurate and robust feature matching is a critical issue in the preprocessing of multispectral image data sets. Higher order features, such as lines can provide useful matching information but are heavily affected by the unreliable… read more here.

Keywords: end points; line; multispectral images; intersection ... See more keywords