Advanced Methods in Hyperspectral Imagery Analysis for Smart Sensing Applications

Hyperspectral imagery, an extension of traditional imaging, has proven to be a significant tool in various scientific fields due to its ability to detect and identify objects based on their unique spectral signatures. This project aims to focus on the application of hyperspectral imagery in remote sensing, food and drink, manufacturing and medical diagnosis. One of the primary challenges in hyperspectral imagery is the handling and processing of the vast amount of data these systems generate. Hyperspectral images contain information across a wide range of the electromagnetic spectrum, resulting in high-dimensional data that can be computationally intensive to process. Another limitation is the accuracy of classification and identification of materials or features, as the complexity of hyperspectral data can lead to ambiguities in interpretation.

To tackle with these limitations, this project will have the following objectives:

First, develop dimension reduction techniques to condense the high-dimensional hyperspectral data into more manageable formats without losing critical information. This will improve computational efficiency and facilitate more effective analysis.

Second, enhance band selection to identify the most relevant wavelengths for a given application. This allows customization of multispectral cameras to reduce costs, improving practicality of hyperspectral imaging.

Thirdly, the project will apply these advanced techniques to key computer vision tasks, specifically change detection and anomaly detection, to enhance decision-making in smart sensing applications. This includes diverse areas such as land mapping in remote sensing; retina and brain image analysis, aiding in early and accurate clinical diagnosis; non-destructive inspection for material characterization.

For informal enquiries about the project, contact Dr. Yijun Yan, [Email Address Removed]

For general enquiries about the University of Dundee, contact [Email Address Removed]

Our research community thrives on the diversity of students and staff which helps to make the University of Dundee a UK university of choice for postgraduate research. We welcome applications from all talented individuals and are committed to widening access to those who have the ability and potential to benefit from higher education.

QUALIFICATIONS

Applicants must have obtained, or expect to obtain, a UK honours degree at 2.1 or above (or equivalent for non-UK qualifications), and/or a Masters degree in a relevant discipline. For international qualifications, please see equivalent entry requirements here: www.dundee.ac.uk/study/international/country/.

English language requirement: IELTS (Academic) overall score must be at least 6.5 (with not less than 5.5 in reading, listening, speaking and 6.0 in writing). The University of Dundee accepts a variety of equivalent qualifications and alternative ways to demonstrate language proficiency; please see full details of the University’s English language requirements here: www.dundee.ac.uk/guides/english-language-requirements.

APPLICATION PROCESS

Step 1: Email Dr. Yijun Yan, [Email Address Removed] to (1) send a copy of your CV and (2) discuss your potential application and any practicalities (e.g. suitable start date).

Step 2: After discussion with Dr Yan, formal applications can be made via our direct application system. When applying, please follow the instructions below:

Candidates must apply for the Doctor of Philosophy (PhD) degree in Computing (3 year) using our direct application system: apply for a PhD in Computing.

Please select the study mode (full-time/part-time) and start date agreed with the lead supervisor.

In the Research Proposal section, please:

-         Enter the lead supervisor’s name in the ‘proposed supervisor’ box

-         Enter the project title listed at the top of this page in the ‘proposed project title’ box

In the ‘personal statement’ section, please outline your suitability for the project selected.