Arminas Šidlauskas

ORCID: 0009-0008-5449-8429
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About
Contact & Profiles
Research Areas
  • Remote Sensing and LiDAR Applications
  • Image Processing and 3D Reconstruction
  • Hydrology and Sediment Transport Processes
  • Generative Adversarial Networks and Image Synthesis
  • Flood Risk Assessment and Management
  • Soil erosion and sediment transport
  • Advanced Image Fusion Techniques
  • Advanced Image Processing Techniques

Kaunas University of Technology
2022-2024

Satellite image generation has a wide range of applications. For example, parts images must be restored in areas obscured by clouds or cloud shadows that anonymized. The need to cover large area with the generated faces challenge separately maintain structural and color continuity between adjacent as well actual ones. This study presents modified architecture generative adversarial network (GAN) pix2pix ensures integrity remote sensing images. model comprises U-Net generator PatchGAN...

10.3390/ijgi13120448 article EN cc-by ISPRS International Journal of Geo-Information 2024-12-11

Hydromorphology of rivers assessed through direct measurements is a time-consuming and relatively expensive procedure. The rapid development unmanned aerial vehicles machine learning (ML) technologies enables the usage images to determine hydromorphological units (HMUs) automatically. application various indirect data sources their combinations for determination river HMUs from was main aim this research. Aerial with without Sobel filter, layer boulders identified using Yolov5x6, depth...

10.3390/w14244114 article EN Water 2022-12-16
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