Work

Solar Panels Segmentation in Remote Sensing Data Using Segment Anything Models 2 and 2.1

Year: 2024

Type: article

Source: IEEE Geoscience and Remote Sensing Letters

DOI: 10.1109/lgrs.2024.3522183

Authors: Osher Rafaeli, Tal Svoray, Roni Blushtein-Livnon, Ariel Nahlieli

Institution: Ben-Gurion University of the Negev

Language: English

Topic: Advanced Neural Network Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Israel Science Foundation

Award: G3807773239

OpenAlex ID: W4405754181

FWCI: 1.266

Cites: 18

Cited by: 9

Related to: 10