ISSN:
Publisher:
Disciplines
(Field of Science):
- automation, electronics, electrical engineering and space technologies (Engineering and Technology)
- information and communication technology (Engineering and Technology)
- civil engineering, geodesy and transport (Engineering and Technology)
- environmental engineering, mining and energy (Engineering and Technology)
- forestry (Agricultural sciences)
- agriculture and horticulture (Agricultural sciences)
- socio-economic geography and spatial management (Social studies)
- law (Social studies)
- biotechnology (Natural sciences)
- Earth and related environmental sciences (Natural sciences)
(Field of Science)
Ministry points: Help
Year | Points | List |
---|---|---|
Year 2024 | 100 | Ministry scored journals list 2024 |
Year | Points | List |
---|---|---|
2024 | 100 | Ministry scored journals list 2024 |
2023 | 100 | Ministry Scored Journals List |
2022 | 100 | Ministry Scored Journals List 2019-2022 |
2021 | 100 | Ministry Scored Journals List 2019-2022 |
2020 | 100 | Ministry Scored Journals List 2019-2022 |
2019 | 100 | Ministry Scored Journals List 2019-2022 |
2018 | 35 | A |
2017 | 35 | A |
2016 | 35 | A |
2015 | 35 | A |
2014 | 35 | A |
2013 | 35 | A |
Model:
Points CiteScore:
Year | Points |
---|---|
Year 2022 | 7.9 |
Year | Points |
---|---|
2022 | 7.9 |
2021 | 7.4 |
2020 | 6.6 |
2019 | 6.1 |
2018 | 5.6 |
2017 | 5.3 |
2016 | 5.2 |
2015 | 4.3 |
2014 | 3.9 |
2013 | 3.7 |
2012 | 2.7 |
2011 | 1.1 |
Impact Factor:
Sherpa Romeo:
Papers published in journal
Filters
total: 59
Catalog Journals
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Increasing the Geometrical and Interpretation Quality of Unmanned Aerial Vehicle Photogrammetry Products Using Super-Resolution Algorithms
PublicationUnmanned aerial vehicles (UAVs) have now become very popular in photogrammetric and remote-sensing applications. Every day, these vehicles are used in new applications, new terrains, and new tasks, facing new problems. One of these problems is connected with flight altitude and the determined ground sample distance in a specific area, especially within cities and industrial and construction areas. The problem is that a safe flight...
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The Empirical Application of Automotive 3D Radar Sensor for Target Detection for an Autonomous Surface Vehicle’s Navigation
PublicationAvoiding collisions with other objects is one of the most basic safety tasks undertaken in the operation of floating vehicles. Addressing this challenge is essential, especially during unmanned vehicle navigation processes in autonomous missions. This paper provides an empirical analysis of the surface target detection possibilities in a water environment, which can be used for the future development of tracking and anti-collision...
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Geospatial Modeling of the Tombolo Phenomenon in Sopot using Integrated Geodetic and Hydrographic Measurement Methods
Publication -
Feature Weighted Attention-Bidirectional Long Short Term Memory Model for Change Detection in Remote Sensing Images
PublicationIn remote sensing images, change detection (CD) is required in many applications, such as: resource management, urban expansion research, land management, and disaster assessment. Various deep learning-based methods were applied to satellite image analysis for change detection, yet many of them have limitations, including the overfitting problem. This research proposes the Feature Weighted Attention (FWA) in Bidirectional Long...
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An Innovative Decision Support System to Improve the Energy Efficiency of Buildings in Urban Areas
Publication -
Mean Shift Segmentation Assessment for Individual Forest Tree Delineation from Airborne Lidar Data
Publication -
Empirical Model for Phycocyanin Concentration Estimation as an Indicator of Cyanobacterial Bloom in the Optically Complex Coastal Waters of the Baltic Sea
Publication -
Satellite Image Classification Using a Hierarchical Ensemble Learning and Correlation Coefficient-Based Gravitational Search Algorithm
PublicationSatellite image classification is widely used in various real-time applications, such as the military, geospatial surveys, surveillance and environmental monitoring. Therefore, the effective classification of satellite images is required to improve classification accuracy. In this paper, the combination of Hierarchical Framework and Ensemble Learning (HFEL) and optimal feature selection is proposed for the precise identification...
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Cascade Object Detection and Remote Sensing Object Detection Method Based on Trainable Activation Function
PublicationObject detection is an important process in surveillance system to locate objects and it is considered as major application in computer vision. The Convolution Neural Network (CNN) based models have been developed by many researchers for object detection to achieve higher performance. However, existing models have some limitations such as overfitting problem and lower efficiency in small object detection. Object detection in remote...
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