A5046681629- Animal Vocal Communication and Behavior
- Marine animal studies overview
- Robotics and Sensor-Based Localization
- Advanced Image and Video Retrieval Techniques
- Noise Effects and Management
- Inertial Sensor and Navigation
- Urban Green Space and Health
- Advanced Neural Network Applications
- Cryptographic Implementations and Security
- Olfactory and Sensory Function Studies
- Land Use and Ecosystem Services
- Automated Road and Building Extraction
- Chaos-based Image/Signal Encryption
- Advanced Chemical Sensor Technologies
- Plant and Biological Electrophysiology Studies
- Wildlife-Road Interactions and Conservation
- Animal Behavior and Reproduction
- Coding theory and cryptography
- Remote Sensing and Land Use
- 3D Surveying and Cultural Heritage
- Space Satellite Systems and Control
Chinese Academy of Forestry
2022-2024
Research Institute of Tropical Forestry
2022-2024
Institute of Software
2023
Chinese Academy of Sciences
2023
Xi’an University of Posts and Telecommunications
2022-2023
The shifts of bird song frequencies in urbanized areas provide a unique system to understand avian acoustic responses urbanization. Using passive monitoring and automatic sound recognition technology, we explored the frequency variations six common urban species their associations with habitat structures. Our results demonstrated that were significantly higher than those peri-urban rural areas. Anthropogenic noise structure identified as crucial factors shaping space for birds. We found...
Monitoring biodiversity and assessing the impact of human activities using acoustics is a promising area in field urban ecology. Previous studies on are often limited by data continuity survey scope, making it difficult to answer questions about relationships between bird population dynamics environmental factors. To some extent, big methods such as continuous acoustic monitoring have bridged this gap provided new research paths address problem. In study, we proposed machine learning (ML)...
Abstract As a crucial component of terrestrial ecosystems, urban forests play pivotal role in protecting biodiversity by providing suitable habitats for acoustic spaces. Previous studies note that vegetation structure is key factor influencing bird sounds forests; hence, adjusting the frequency composition may be strategy birds to avoid anthropogenic noise mask their songs. However, it unknown whether response mechanisms vocalizations remain consistent despite being impacted noise. It was...
The adaptive strategies of bird song frequencies in urbanized areas provide a unique system to understand the sounds response conditions. Using passive acoustic monitoring and automatic sound recognition technology, we explored frequency variations six common urban species their association with habitat structures. Our results demonstrated that environments were significantly higher than outskirts rural areas. Habitat vegetation structure noise levels identified as crucial factors shaping...
At present, the positioning function of intelligent UAVs mainly uses GPS technology, and signals are susceptible to environmental electromagnetic interference factors. In this paper, we combine remote sensing image processing with matching algorithms propose a GPS-independent visual localization technique for UAVs. First, VGG16 network is used as feature extraction backbone network, designed optimized characteristics heterogenous images. Secondly, point screening strategy constructed, by...
Remote sensing image matching is an important branch of in computer vision, and with the increasing variety remote images, quality differences are also increasing. Aiming at bottleneck problem being unable to intelligently match wide-area images significant scale information such as size physical resolution, this paper proposes a hierarchical algorithm based on local semantic features, which solves low accuracy case large disparity field view. The experimental results show that proposed...
Visual and inertial navigation have obvious complementarity in accuracy, the combined of two has excellent anti-interference ability. In this paper, a visual-inertial-based satellite quality evaluation method is proposed. This can judge whether GPS (Global Positioning System) interfered by comparing visual-inertial information with data geographic coordinate system. enables UAV to quickly switch mode under condition being disturbed, which ensures that function accurate free from...