A novel unsupervised forest change detection method based on the integration of a multiresolution singular value decomposition fusion and an edge-aware Markov Random Field algorithm

Autor:	Armin Moghimi, Amin Mohsenifar, Ali Mohammadzadeh, Bahram Salehi
Rok vydání:	2021
Předmět:	Fusion Lead (geology) Development (topology) Markov random field Computer science media_common.quotation_subject Singular value decomposition General Earth and Planetary Sciences Forest change Prosperity Enhanced Data Rates for GSM Evolution Algorithm media_common
Zdroj:	International Journal of Remote Sensing. 42:9376-9404
ISSN:	1366-5901 0143-1161
DOI:	10.1080/01431161.2021.1995075
Popis:	As a leading natural wealth, forests play an essential role in the development and prosperity of countries. Hence, monitoring their changes can lead to proper management and planning in conserving ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::698ae65e7b6f3aa9008c8647c516d3da https://doi.org/10.1080/01431161.2021.1995075 Zobrazit plný text záznamu