Publications

Journals

Lagahit, Liu, Xiu, Kim, Kim and Matsuoka. "Learnable Resized and Laplacian-Filtered U-Net: Better Road Marking Extraction and Classification on Sparse-Point-Cloud-Derived Imagery." Remote Sensing. 2024. [DOI].
Lagahit and Matsuoka. "Focal Combo Loss for Improved Road Marking Extraction of Sparse Mobile LiDAR Scanning Point Cloud-Derived Images Using Convolutional Neural Networks." Remote Sensing. 2023. [DOI].
Lagahit and Tseng. "Road Marking Extraction and Classification from Mobile LiDAR Point Cloud Derived Imagery using Transfer Learning." Journal of Aerial Survey and Telemetry (航測及遙測學刊). 2021. [DOI].

Conference Proceedings

Lagahit, Wilhelm, and Matsuoka. "Exploring Faster Street-Level Semantic Segmentation with Learnable Resized and Pixel-Shuffled MobileNets." ISPRS Annals of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (PhilGEOS). Quezon City, Philippines. 2025. (Accepted)
Lagahit, Liu, Xiu, T. Kim, K.S. Kim, and Matsuoka. "Evaluating Segmentation Performance of Learnable Resized Models on Small Features from Sparse-Point Cloud-Derived Imagery." IEEE International Symposium on Geoscience and Remote Sensing. Brisbane, Australia. 2025.
Yadav, Thapa, Pucino, Kushwaha, Lagahit, and Okolie. "Unleashing the Dynamic Strategies in the Era of Change - A Spotlight on the ISPRS Student Consortium's Global Contributions." ISPRS Annals of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (TC III Midterm Symposium). Belem, Brazil. 2024. [DOI].
Lagahit and Matsuoka. "Investigating Loss Functions for Segmenting and Detecting Ships on SAR Imagery." International Archives of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (PhilGEOS). Quezon City, Philippines. 2023. [DOI]
Lagahit and Matsuoka. "Training Data Pre-Processing with Multi-Otsu Thresholding for Improving Road Marking Extraction from Sparse Mobile LiDAR Point Cloud Scanning-Derived Images." Asian Conference on Remote Sensing Proceedings. Taipei, Taiwan. 2023.
Lagahit and Matsuoka. "MFSCNN: Appending a Masked Branch to Fast-SCNN to Improve Road Marking Extraction on Sparse MLS Point Cloud-Derived Images." International Archives of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (GSW). Cairo, Egypt. 2023. [DOI].
Lagahit and Matsuoka. "D-Fast-SCNN + Combo Loss: Improved Road Marking Extraction on Mobile LiDAR Sparse Point Cloud-Derived Images." IEEE International Symposium on Geoscience and Remote Sensing. California, USA. 2023. [DOI].
Lagahit, Li, Sakaguchi, and Matsuoka. "Exploring Ground Segmentation from LiDAR Scanning-Derived Images Using Convolutional Neural Networks." International Archives of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (MMT). Padova, Italy. 2023. [DOI].
Lagahit and Matsuoka. "Modifying Focal Combo Loss: Investigating the Effects of the Log-Cosh Approach for Road Marking Extraction on Sparse Mobile LiDAR Scanning Point Cloud-Derived Imagery." International Symposium on Remote Sensing Proceedings. Jeju, South Korea. 2023.
Li, Lagahit, Matsuoka, and Sakaguchi. "Design of Mobility-Aware Map Partition and Distribution System for Smooth Automated Driving." IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications. Kyoto, Japan. 2022. [DOI]
Lagahit and Matsuoka. "Exploring FSCNN + Focal Loss: A Faster Alternative for Road Marking Classification on Mobile LiDAR Sparse Point Cloud Derived Images." IEEE International Symposium on Geoscience and Remote Sensing. Kuala Lumpur, Malaysia. 2022. [DOI]
Lagahit and Matsuoka. "Boosting U-Net with Focal Loss for Road Marking Classification on Sparse Mobile LiDAR Point Cloud Derived Images." ISPRS Annals of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (XXIV Congress). Nice, France. 2022. [DOI].
Lagahit and Matsuoka. "Improving Classification on Sparse Mobile LiDAR Point Cloud Derived Images by Merging Results of Multiple Class Dedicated Neural Network Models." International Symposium on Remote Sensing Proceedings. Tokyo, Japan. 2022.
Lagahit and Matsuoka. "gpkg2lanelet v1.0: A Python-based Conversion Tool that Converts HD Map Vector Primitives from GeoPackage to Lanelet2 Format." International Symposium on Applied Geoinformatics Proceedings. Riga, Latvia. 2021. [DOI].
Lagahit and Tseng. "Using Deep Learning to Digitize Road Arrow Markings from LiDAR Point Cloud Derived Images." International Archives of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (XXIV Congress). Nice, France. 2020. [DOI].
Lagahit and Tseng. "A Preliminary Study on Updating High Definition Maps: Detecting and Positioning a Traffic Cone by using a Stereo Camera." International Archives of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (PhilGEOS). 2019. Manila, Philippines. [DOI].
Lagahit and Blanco. "Using Openly Sourced 3D Geographic Information Systems (GIS) in Determining the Photovoltaic Potential of Quezon City Hall in Terms of Received Direct Solar Radiation." International Archives of the Photogrammetry, Remote Sensing, & Spatial Information Sciences (PhilGEOS). 2019. Manila, Philippines. [DOI].
Lagahit and Tseng. "A Preliminary Study on Updating a Detected Traffic Cone's Coordinates Obtained from a Stereo Camera on a Pseudo High Definition Map Database." Asian Conference on Remote Sensing Proceedings. Daejeon, South Korea. 2019.

Others

Pagkalinawan, Amoloza, Gatdula, Dela Torre, Tan, Pulmano, Jose, Magtalas, Rollan, Tañada, Apura, Reyes, Yumul, Lagahit, and Blanco. "Philippine Agricultural Resources Atlas." The Agricultural Resources Extraction from LiDAR Surveys (PARMap) of The Nationwide Detailed Resources Assessment using LiDAR (Phil-LiDAR 2). 2018.