Work

POSIT: An automated tool for detecting and characterizing diverse morphological features in raster data - Application to pockmarks, mounds, and craters

Year: 2024

Type: article

Abstract: 14 pages, 10 figures, 3 tables, supplementary data .-- Data availability: I have shared the link to our data and code at the Code Availability section

Source: Applied Computing and Geosciences

DOI: 10.1016/j.acags.2024.100190

Authors: José J. Alonso del Rosario, Ariadna Canari, Elízabeth Blázquez Gómez, Sara Martínez-Loriente

Institutions: Universidad de Cádiz, Consejo Superior de Investigaciones Científicas, Institut de Ciències del Mar, Universitat de Barcelona

Language: English

Topic: Remote-Sensing Image Classification

Subfield: Media Technology

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,920

Funders: Ministerio de Ciencia e Innovación, European Regional Development Fund, Agencia Estatal de Investigación, European Social Fund

Awards: G254222918, G3301188415, G3590511360, G3776144679, G4819003013, G5112555677, G5763638049, G5939179153, G6836160021, G711357706

OpenAlex ID: W4402023133

FWCI: 1.005

Cites: 34

Cited by: 6

Related to: 10