Mitigating coarse spatial reconstruction to generate missing bands for the HLS dataset

Autor: V. Tsironis, A. Psalta, K. Karantzalos

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-3-2024, Pp 553-558 (2024)

The Harmonized LandSat-Sentinel (HLS) dataset has significantly advanced Earth Observation by integrating data from Landsat and Sentinel satellites. However, challenges persist in achieving spectral band parity between LandSat and Sentinel-derived HL

Externí odkaz: https://doaj.org/article/8fbb7857dab04916be343d4f540efb98

TOMATOD: EVALUATION OF OBJECT DETECTION ALGORITHMS ON A NEW REAL-WORLD TOMATO DATASET

Autor: V. Tsironis, S. Bourou, C. Stentoumis

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1077-1084 (2020)

The integration of modern technologies in farming poses a challenging task to the research community. In this work, the task of selective cropping and treating is considered, whereas learning algorithms can provide essential assistance on crop growth

Externí odkaz: https://doaj.org/article/3678f91dafc44c8da8eedec4dc87e508

TOMATOD: EVALUATION OF OBJECT DETECTION ALGORITHMS ON A NEW REAL-WORLD TOMATO DATASET

Autor: C. Stentoumis, S. Bourou, V. Tsironis

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B3-2020, Pp 1077-1084 (2020)

The integration of modern technologies in farming poses a challenging task to the research community. In this work, the task of selective cropping and treating is considered, whereas learning algorithms can provide essential assistance on crop growth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3fa6e93ef8a5a6b2d344192db32f68c2
https://doi.org/10.5194/isprs-archives-xliii-b3-2020-1077-2020

SCALE-AWARENESS FOR MORE ACCURATE OBJECT DETECTION USING MODIFIED SINGLE SHOT DETECTORS

Autor: C. Stentoumis, N. Lekkas, V. Tsironis, A. Nikopoulos

Publikováno v: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLIII-B2-2021, Pp 801-808 (2021)

Object detection performance is directly related to the apparent size of the object to be detected, thus most state-of-the-art algorithms dedicate different detection heads for each object size. In this work, we propose an end-to-end pipeline to adap

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34f43ed49f4c78dc01a7407e0593ca1e
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/801/2021/

Social Pooling with Edge Convolutions on Local Connectivity Graphs for Human Trajectory Prediction in Crowded Scenes

Autor: A Psalta, Konstantinos Karantzalos, I Spyropoulou, V Tsironis

Publikováno v: ITSC

Human trajectory prediction is a quite challenging task mainly due to numerous social interactions and plausible paths in complex crowed scenarios and varying environments. Data-driven machine learning approaches based on Recurrent Neural Networks (R

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1597e0e6246312595baf01a96b54b970
https://doi.org/10.1109/itsc45102.2020.9294251