ECE Research Seminar with Dr. Jenny Du: October 16, 12 – 1 p.m.

Date: Friday, October 16, 2026, 12 – 1:00 p.m.

Location: Simrall 104
Online: Live Stream

Abstract: Hyperspectral images capture hundreds of narrow, contiguous spectral bands, enabling the identification and discrimination of materials that may appear similar in conventional imagery. In remote sensing, these data support applications such as land-cover mapping, agricultural monitoring, mineral exploration, environmental assessment, and disaster management. Unlike conventional grid-based methods, graph representations adapt to the irregular structure of image content by connecting pixels, regions, or spectral signatures according to their spatial, spectral, or semantic similarity. This flexibility allows graphs to capture long-range relationships, preserve local boundaries, and represent the complex geometry of hyperspectral data more effectively. Building on these graph representations, graph networks learn from both individual node features and connection structures, producing rich spectral-spatial representations for classification, feature extraction, and data fusion. The talk will discuss how graph construction, graph signal processing, and specialized graph network architectures contribute to improved accuracy, robustness, and interpretability, while also addressing challenges such as computational complexity, graph quality, scalability, and the need for reliable representations in Earth observation applications.

Dr. Qian (Jenny) Du
Jenny Du is a professor in the Department of Electrical and Computer Engineering at Mississippi State University and an internationally renowned expert in optical remote sensing and hyperspectral imaging. She is a recipient of the David Landgrebe Award from the IEEE Geoscience and Remote Sensing Society (GRSS) for her contributions to remote sensing image analysis, and has been recognized by Clarivate as one of the world’s most influential researchers. Dr. Du has held many leadership roles in the remote sensing community, including serving as the current Editor-in-Chief of the SPIE Journal of Applied Remote Sensing (JARS), a former Editor-in-Chief of the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), a former member of the IEEE Periodicals Review and Advisory Committee (PRAC), and a former member of the SPIE Publications Committee. Most recently, she served as the Technical Co-Chair of the 2026 IEEE International Geoscience and Remote Sensing

* For further information, contact: ECE 662-325-2035