[HTML][HTML] Vessel detection and classification from spaceborne optical images: A literature survey
This paper provides an overview of existing literature on vessel/ship detection and
classification from optical satellite imagery. Although SAR (Synthetic Aperture Radar) is still …
classification from optical satellite imagery. Although SAR (Synthetic Aperture Radar) is still …
Impact of COVID-19 lockdown on the fisheries sector: a case study from three harbors in Western India
The COVID-19 related lockdowns have brought the planet to a standstill. It has severely
shrunk the global economy in the year 2020, including India. The blue economy and …
shrunk the global economy in the year 2020, including India. The blue economy and …
Ship detection based on fused features and rebuilt YOLOv3 networks in optical remote-sensing images
Q Wang, F Shen, L Cheng, J Jiang, G He… - … Journal of Remote …, 2021 - Taylor & Francis
Automatic ship detection in optical remote-sensing (ORS) images has wide applications in
civil and military fields. Research on ship detection in ORS images started late compared to …
civil and military fields. Research on ship detection in ORS images started late compared to …
Incorporating negative sample training for ship detection based on deep learning
While ship detection using high-resolution optical satellite images plays an important role in
various civilian fields—including maritime traffic survey and maritime rescue—it is a difficult …
various civilian fields—including maritime traffic survey and maritime rescue—it is a difficult …
Ship detection from optical satellite images with deep learning
M Kartal, O Duman - … conference on recent advances in space …, 2019 - ieeexplore.ieee.org
The effective use and control of maritime routes in the commercial/military area is an
increasing and important need for states. There are some motivations for this purpose: Safe …
increasing and important need for states. There are some motivations for this purpose: Safe …
Broad area target search system for ship detection via deep convolutional neural network
Y You, Z Li, B Ran, J Cao, S Lv, F Liu - Remote Sensing, 2019 - mdpi.com
High-resolution optical remote sensing data can be utilized to investigate the human
behavior and the activities of artificial targets, for example ship detection on the sea …
behavior and the activities of artificial targets, for example ship detection on the sea …
VHRShips: An extensive benchmark dataset for scalable deep learning-based ship detection applications
The classification of maritime boats and ship targets using optical satellite imagery is a
challenging subject. This research introduces a unique and rich ship dataset named Very …
challenging subject. This research introduces a unique and rich ship dataset named Very …
Semantic segmentation of static and dynamic structures of marina satellite images using deep learning
MM dos Santos, GG De Giacomo… - 2019 8th Brazilian …, 2019 - ieeexplore.ieee.org
Advances in remote sensing and machine learning technologies allow a better
understanding of satellite images and therefore, our planet. Many applications of semantic …
understanding of satellite images and therefore, our planet. Many applications of semantic …
A sea-land segmentation algorithm based on sea surface analysis
G Liu, E Chen, L Qi, Y Tie, D Liu - … Processing-PCM 2016: 17th Pacific-Rim …, 2016 - Springer
Ship detection from optical remote sensing imagery is an important and challenging task.
Sea-land segmentation is a key step for ship detection. Due to the complex and various sea …
Sea-land segmentation is a key step for ship detection. Due to the complex and various sea …
[PDF][PDF] Impact of COVID-19 Lockdown on the Fisheries Sector: A Case Study from Three Harbors in Western India. Remote Sens. 2021, 13, 183
The COVID-19 related lockdowns have brought the planet to a standstill. It has severely
shrunk the global economy in the year 2020, including India. The blue economy and …
shrunk the global economy in the year 2020, including India. The blue economy and …