Exploring the Potential of Reconstructed Multispectral Images for Urban Tree Segmentation in Street View Images-Reference-Cited by-同舟云学术

Exploring the Potential of Reconstructed Multispectral Images for Urban Tree Segmentation in Street View Images

Published:2024 Issue: Volume:17 Page:12112-12122
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Arevalo-Ramirez Tito¹^ORCID,Alfaro Anali²,Saavedra Jose M.²,Recabarren Matías²^ORCID,Ponce-Donoso Mauricio³,Delpiano José²^ORCID

Affiliation:

1. Department of Mechanical and Metallurgical Engineering, Department of Electrical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile

2. Faculty of Engineering and Applied Sciences, Universidad de los Andes, Santiago, Chile

3. Sociedad Chilena de Arboricultura, Santiago, Universidad de los Andes, Santiago, Chile

Funder

Agencia Nacional de Investigación y Desarrollo

Pontificia Universidad Católica de Chile

Advanced Center of Electrical and Electronic Engineering, AC3E

Arbotag Chile

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/4609443/10330207/10572279.pdf?arnumber=10572279

Reference48 articles.

1. Imaging Spectrometry for Earth Remote Sensing

2. Spectral–Spatial Hyperspectral Image Segmentation Using Subspace Multinomial Logistic Regression and Markov Random Fields

3. Recent advances in techniques for hyperspectral image processing

4. Physical and physiological basis for the reflectance of visible and near-infrared radiation from vegetation

5. Exploiting hyperspectral and multispectral images in the detection of tree species: A review