Skip navigation

Shindong Wang

Postgraduate Research

Shidong -wangHabitat classification acts as the crucial role for structuring and understanding of the natural world. Natural habitats have been defined as “terrestrial or aquatic areas distinguished by geographic abiotic and biotic features, whether entirely natural or semi-natural” in the European Union Habitats Directive. The classification for natural habitats has been carried out for a long time and attracted attentions of environmental agencies to monitor and maintain habitats. There are multiple scheme have been developed to categorize characterization, and to reduce the complexity present of habitats. One of the most widely employed approaches is the Phase 1 Habitat Survey scheme. This hierarchical classification divides habitats into ten categories and provides detailed records of vegetation for a determined area. By following Phase 1 scheme, we propose to use machine learning, more specifically, deep learning and “Convolutional Neural Networks” (CNN) techniques to classify and annotate automatically for habitat images

a sign in front of a crowd

Northumbria Open Days

Open Days are a great way for you to get a feel of the University, the city of Newcastle upon Tyne and the course(s) you are interested in.

a person sitting at a table using a laptop
a bridge over a body of water

Virtual Tour

Get an insight into life at Northumbria at the click of a button! Come and explore our videos and 360 panoramas to immerse yourself in our campuses and get a feel for what it is like studying here using our interactive virtual tour.

Latest News and Features

Laura McClorey's Belfast Stories, central atrium
John Williams
Levelling up
Matt Sutherland
Russell Hewitson
The Design for Planet Festival, organised by the Design Council, will take place at Northumbria University in November 2022.
More news
More events

Upcoming events

Research & Knowledge Exchange Safari
IC3 Innovation Workshop: Digital Transformation for SMEs

Back to top