Implementation of Algorithm for Satellite-Derived Bathymetry using Open Source GIS and Evaluation for Tsunami Simulation. - Vinayaraj Poliyapram; Venkatesh Raghavan; Markus Metz; Luca Delucchi; Shinji Masumoto (ISPRS Int. J. Geo Inf., 2017)

3D semantic segmentation for high-resolution aerial survey derived point clouds using deep learning (demonstration). - Haoyi Xiu; Poliyapram Vinayaraj; Kyoung-Sook Kim 001; Ryosuke Nakamura; Wanglin Yan (SIGSPATIAL/GIS, 2018)

Development of an Automatic Dynamic Global Water Mask Using Landsat-8 Images. - Vinayaraj Poliyapram; Yu Oishi; Ryosuke Nakamura (IGARSS, 2018)

Investigation on Perceptron Learning for Water Region Estimation Using Large-Scale Multispectral Images. - Poliyapram Vinayaraj; Nevrez Imamoglu; Ryosuke Nakamura; Atsushi Oda (Sensors, 2018)

Deep Learning Model for Water/Ice/Land Classification Using Large-Scale Medium Resolution Satellite Images. - Vinayaraj Poliyapram; Nevrez Imamoglu; Ryousuke Nakamura (IGARSS, 2019)

3D Semantic Segmentation of Large-Scale Point-Clouds in Urban Areas Using Deep Learning. - Chakri Lowphansirikul; Kvoung-Sook Kim; Poliyapram Vinayaraj; Suppawong Tuarob (KST, 2019)

A Point-Wise LiDAR and Image Multimodal Fusion Network (PMNet) for Aerial Point Cloud 3D Semantic Segmentation. - Vinayaraj Poliyapram; Weimin Wang 007; Ryosuke Nakamura (Remote. Sens., 2019)

Densification of Airborne Lidar Point Cloud with Fused Encoder-Decoder Networks. - Weimin Wang 007; Poliyapram Vinayaraj; Ryosuke Nakamura (IGARSS, 2020)

Canopy Averaged Chlorophyll Content Prediction of Pear Trees Using Convolutional Autoencoder on Hyperspectral Data. - Subir Paul; Vinayaraj Poliyapram; Nevrez Imamoglu; Kuniaki Uto; Ryosuke Nakamura; Dasika Nagesh Kumar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Transfer Learning With CNNs for Segmentation of PALSAR-2 Power Decomposition Components. - Poliyapram Vinayaraj; Ryu Sugimoto; Ryosuke Nakamura; Yoshio Yamaguchi (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

A Multi-Task Deep Learning Model for Population and LULC (M2PL-NET) Prediction with Scaling to a People Flow Grid. - Poliyapram Vinayaraj; Jeremiah Luke Anderson; Mayank Bansal (IGARSS, 2022)

SATPOI-Net: Deep Learning Model to Predict the Point of Interest (POI) from Satellite Imagery. - Poliyapram Vinayaraj; Alameen Najjar; Kyle Mede (IGARSS, 2023)