{"632422":{"#nid":"632422","#data":{"type":"event","title":"ECE Student Seminar","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ESpeaker:\u003C\/strong\u003E Dr. Dennis J. Lee, Computer Scientist,\u0026nbsp; Sandia National Laboratories\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ESeminar Topic:\u003C\/strong\u003E\u0026nbsp;\u003Cem\u003ECompressive sensing for hyperspectral imaging\u003C\/em\u003E\u003Cbr \/\u003E\r\n\u003Cbr \/\u003E\r\n\u003Cstrong\u003EAbstract of Talk:\u003C\/strong\u003E Hyperspectral sensors measure a portion of the electromagnetic spectrum. They allow us to study how objects interact with light based on the wavelength of energy recorded. Applications include construction, agriculture, energy, and government. Compressive sensing is a technique to reduce the number of measurements. I present a novel hyperspectral sensor based on the theory of compressive sensing. The reconstruction algorithms recover the hyperspectral signal from measured data. I discuss various approaches to reconstruction, including optimization and neural networks. Machine learning will classify the raw and reconstructed hyperspectral data. This presentation will provide a glimpse into current research on hyperspectral imaging.\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cbr \/\u003E\r\n\u003Cstrong\u003EBiographical Sketch of the Speaker:\u0026nbsp;\u003C\/strong\u003E Dennis Lee is a computer scientist in a Remote Sensing group at Sandia National Laboratories. His group specializes in developing state of the art technologies for remote sensing in the areas of optimized digital processing, real-time decision algorithms, high performance processing, remote distributed data processing architectures, rapid high consequence technology insertions for remote sensing applications, and remote sensing system engineering. He conducts research related to signal processing, statistics, and optics. He joined Sandia in 2015 after receiving his Ph.D. in Electrical and Computer Engineering from Purdue University.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003E\u003Cem\u003ECompressive sensing for hyperspectral imaging - \u003C\/em\u003E Dr. Dennis J. Lee, Computer Scientist,\u0026nbsp; Sandia National Laboratories\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"Compressive sensing for hyperspectral imaging"}],"uid":"27842","created_gmt":"2020-02-13 17:41:55","changed_gmt":"2020-02-13 17:42:08","author":"Ashlee Gardner","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2020-02-19T11:15:00-05:00","event_time_end":"2020-02-19T12:05:00-05:00","event_time_end_last":"2020-02-19T12:05:00-05:00","gmt_time_start":"2020-02-19 16:15:00","gmt_time_end":"2020-02-19 17:05:00","gmt_time_end_last":"2020-02-19 17:05:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1255","name":"School of Electrical and Computer Engineering"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"174045","name":"Graduate students"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003EPaul Steffes\u003C\/p\u003E\r\n\r\n\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\r\n\r\n\u003Cp\u003E404-894-3128\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}