Results 71 to 80 of about 444 (225)

Where were all the trees? Computer vision meets landscape history to unlock the potential of historical Ordnance Survey maps

People and Nature, EarlyView.
Abstract The first edition of the Ordnance Survey's 1:2500 County Series is marked with treed areas, such as woodlands and orchards, and, remarkably, freestanding trees. Consequently, it is an unparalleled source of information on the distribution of trees across Britain in the mid‐late nineteenth century, when the maps were first surveyed. In order to
Toby Pillatt, William A. P. Smith
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Nautical radar clutter suppression and small target detection based on image spectrum filtering and Hough transform

The Journal of Engineering, 2019
Here, a new clutter suppression and small target detection method was presented for nautical radars based on image spectrum filtering and Hough transform (HT).
Zhonghua Bao, Chunlei Zhang, Jianbin Lu
doaj   +1 more source

Directive Antenna Clutter Loss in Slant Paths

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper investigates the development of a clutter loss model specifically for slant paths involving directive antennas. Conventionally, clutter loss is characterized by using isotropic antennas to facilitate standard link budget calculations via single antenna gain values.
Fernando Pérez Fontán, Vicente Pastoriza‐Santos, Fernando Machado Domı́nguez, Thomas Prechtl, Pavel Pechac   +4 more
wiley   +1 more source

Marine Radar Image Sequence Target Detection Based on Space–Time Adaptive Filtering and Hough Transform

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The performance of marine radar target detection is largely affected by the intricate and dynamic space–time variations of sea clutter signals, which cause substantial numbers of false and missed alarms. To improve the target detection performance
Baotian Wen, Zhizhong Lu, Yongfeng Mao, Bowen Zhou   +3 more
doaj   +1 more source

Comparative Study on Chaos Identification of Ionospheric Clutter From HFSWR

IEEE Access, 2019
In addition to target echoes, high frequency surface wave radar (HFSWR) receives sea and ionospheric clutter. Among these clutters, the ionospheric clutter is dominant and significantly affects the detection performance of HFSWR, particularly when the ...
Lyu Zhe, Yu Changjun, Liu Aijun, Yang Xuguang, Quan Taifan   +4 more
doaj   +1 more source

Key Technical Fields and Future Outlooks of Space Manipulators: A Survey

SmartBot, EarlyView.
This paper systematically reviews the technological development of space manipulators, emphasizing the unique challenges posed by space environments. It examines four areas: structural design, modeling, planning, and control, while introducing typical ground test platforms.
Gang Chen, Zeyuan Huang, Ying Yan, Xiaokang An, Zhikai Zhao, Jirong Lin, Xiangrong Zhao, Xianyuan Gao, Junyi Zong, Xuewen Jia, Zhipeng Yao, Jianliang Liao, Ning Ji   +12 more
wiley   +1 more source

Robust Multi‐Source Batch Normalisation for Test‐Time Batch Adaptation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Test‐Time Batch Adaptation (TTBA) aims to adapt a pre‐trained source model to small, unlabelled target batches at test time. The TTBA methods focus on adapting the pre‐trained model or the target data in a one‐to‐one alignment paradigm. However, these one‐to‐one alignment paradigms assume that the source domain may share the same knowledge ...
Xinlin Xiao, Xiangtao Zheng, Jianhua Tao, Xiaoqiang Lu   +3 more
wiley   +1 more source

Align What Truly Matters: Pedestrian‐Relevant Hierarchical Parsing Network for Text‐Based Person Retrieval

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Fine‐grained alignment is crucial for text‐based person retrieval, which searches for relevant pedestrian images using a text query. However, background clutter and semantically vacuous words can cause interference and misalignment, hindering retrieval performance.
Jiajun Su, Yifan Shi, Pudu Liu, Jianqing Zhu, Huanqiang Zeng, Liu Liu, Zhen Lei   +6 more
wiley   +1 more source

Spreading Sea Clutter Suppression for High-Frequency Hybrid Sky-Surface Wave Radar Using Orthogonal Projection in Spatial–Temporal Domain

Remote Sensing
In recent years, the high-frequency hybrid sky-surface wave radar (HSSWR) has been increasingly used for target detection applications. Nevertheless, the specific bistatic system layout and the phase path disturbances induced by the ionospheric ...
Qing Zhou, Yufan Bai, Xiaohua Zhu, Xiongbin Wu, Hong Hong, Chuanwei Ding, Heng Zhao   +6 more
doaj   +1 more source