IGARSS 2026 || Washington, D.C. || 9

TH4.R12: High-Performance and Efficient Learning Frameworks for Remote Sensing

Thursday, 13 August, 16:15 - 17:30

Location: Georgetown East

Session Type: Oral

Session Chair: Gabriele Cavallaro, University of Iceland

Track: AI and Big Data

Thu, 13 Aug, 16:15 - 16:30

TH4.R12.1: SC-DBNET: AN EFFICIENT SPECTRAL-CONDITIONED DUAL-BRANCH NET FOR HSI CLASSIFICATION

Jihun Kim, Jungkwon Kim, Chi Zhang, JEONGHYEON PARK, Kwangsun Yoo, Seok-Joo Byun, ELROILAB

Thu, 13 Aug, 16:30 - 16:45

TH4.R12.2: ENERGY EFFICIENT GPU FREQUENCY SCALING FOR GEOSPATIAL FOUNDATION MODELS

Joseph Arnold Xavier, Rocco Sedona, Forschungszentrum Jülich; Morris Riedel, Gabriele Cavallaro, University of Iceland

Thu, 13 Aug, 16:45 - 17:00

TH4.R12.3: FROGNER: ANCHOR-DRIVEN NEURAL GAUSSIAN REPRESENTATION FOR COMPACT AND HIGH-FIDELITY NOVEL VIEW SYNTHESIS

Xinhao Deng, Hongwei Li, Guhong Zhang, Chengsai Zhou, Zhejiang University; Kaidi Chen, STAR.VISION Aerospace Group Limited; Chaojie Zhang, Zhejiang University

Thu, 13 Aug, 17:00 - 17:15

TH4.R12.4: A DOCKER-BASED FRAMEWORK FOR PARALLEL HYPERPARAMETER TUNING OF LSTM MODELS

Anusha Srirenganathan Malarvizhi, George Mason University; Tayven Stover, Northern Virginia Community College; Seren Smith, George Mason University; Kaylee Smith, University of Michigan; Zifu Wang, Harvard University; Chaowei Yang, George Mason University