Editorial for the Special Issue "Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions"

Eija Honkavaara; Konstantinos Karantzalos; Xinlian Liang; Erica Nocerino; Ilkka Pölönen; Petri Rönnholm

doi:10.3390/rs11141714

Editorial for the Special Issue "Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions"

Eija Honkavaara, Konstantinos Karantzalos, Xinlian Liang, Erica Nocerino, Ilkka Pölönen, Petri Rönnholm^*

^*Tämän työn vastaava kirjoittaja

Tutkimustuotos: Lehtiartikkeli › Editorial › Scientific

1 Sitaatiot (Scopus)

64 Lataukset (Pure)

Abstrakti

This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.

Alkuperäiskieli	Englanti
Artikkeli	1714
Sivumäärä	3
Julkaisu	Remote Sensing
Vuosikerta	11
Numero	14
DOI - pysyväislinkit	https://doi.org/10.3390/rs11141714
Tila	Julkaistu - 2 heinäk. 2019
OKM-julkaisutyyppi	B1 Kirjoitus tieteellisessä aikakauslehdessä

Pääsy asiakirjaan

10.3390/rs11141714

remotesensing-11-01714Final published version, 204 KB

Siteeraa tätä

@article{5c40ee85c95e4c90bd6d32e54f7e5a77,

title = "Editorial for the Special Issue {"}Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions{"}",

abstract = "This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.",

keywords = "hyperspectral imaging, point cloud, sensor integration, data fusion, machine learning, deep learning, classification, estimation, semantic segmentation, object detection, point cloud filtering",

author = "Eija Honkavaara and Konstantinos Karantzalos and Xinlian Liang and Erica Nocerino and Ilkka P{\"o}l{\"o}nen and Petri R{\"o}nnholm",

year = "2019",

month = jul,

day = "2",

doi = "10.3390/rs11141714",

language = "English",

volume = "11",

journal = "Remote Sensing",

issn = "2072-4292",

publisher = "MDPI AG",

number = "14",

}

TY - JOUR

T1 - Editorial for the Special Issue "Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions"

AU - Honkavaara, Eija

AU - Karantzalos, Konstantinos

AU - Liang, Xinlian

AU - Nocerino, Erica

AU - Pölönen, Ilkka

AU - Rönnholm, Petri

PY - 2019/7/2

Y1 - 2019/7/2

N2 - This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.

AB - This Special Issue hosts papers on the integrated use of spectral imaging and 3D technologies in remote sensing, including novel sensors, evolving machine learning technologies for data analysis, and the utilization of these technologies in a variety of geospatial applications. The presented results showed improved results when multimodal data was used in object analysis.

KW - hyperspectral imaging

KW - point cloud

KW - sensor integration

KW - data fusion

KW - machine learning

KW - deep learning

KW - classification

KW - estimation

KW - semantic segmentation

KW - object detection

KW - point cloud filtering

U2 - 10.3390/rs11141714

DO - 10.3390/rs11141714

M3 - Editorial

SN - 2072-4292

VL - 11

JO - Remote Sensing

JF - Remote Sensing

IS - 14

M1 - 1714

ER -

Editorial for the Special Issue "Frontiers in Spectral Imaging and 3D Technologies for Geospatial Solutions"

Abstrakti

Pääsy asiakirjaan

Sormenjälki

Siteeraa tätä