Hybrid model to optimize object-based land cover classification by meta-heuristic algorithm: an example for supporting urban management in Ha Noi, Viet Nam

Autor:	Quoc-Huy Nguyen, Tran Anh Tuan, Nguyen Thi Thuy Hang, Quang-Thanh Bui, Nguyen Tran Xuan Linh, Pham Minh Hai, Pham Van Cu, Manh Pham Van
Rok vydání:	2018
Předmět:	010504 meteorology & atmospheric sciences Artificial neural network Computer science Viet nam 0211 other engineering and technologies Object based 02 engineering and technology Land cover computer.software_genre 01 natural sciences Computer Science Applications Remote sensing (archaeology) General Earth and Planetary Sciences Meta heuristic Data mining Urban management Hybrid model computer Software 021101 geological & geomatics engineering 0105 earth and related environmental sciences
Zdroj:	International Journal of Digital Earth. 12:1118-1132
ISSN:	1753-8955 1753-8947
DOI:	10.1080/17538947.2018.1542039
Popis:	This study proposed a novel object-based hybrid classification model named GMNN that combines Grasshopper Optimization Algorithm (GOA) and the multiple-class Neural network (MNN) for urban ...
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::bfe75ab57a9dee282e4f450303a06eb2 https://doi.org/10.1080/17538947.2018.1542039 Zobrazit plný text záznamu