Results 21 to 30 of about 1,017 (151)

Recognition Method of Corn and Rice Crop Growth State Based on Computer Image Processing Technology

Journal of Food Quality, Volume 2022, Issue 1, 2022., 2022
The agriculture field is one of the most important fields where computational techniques play an imperative role for decision‐making whether it is the automation of watering of plants, controlling of humidity levels, and detection of plant diseases and growth of plants. There are problems in the conventional methods where newer computational techniques
Li Tian, Chun Wang, Hailiang Li, Haitian Sun, Rijwan Khan   +4 more
wiley   +1 more source

Gaussian Function Fusing Fully Convolutional Network and Region Proposal‐Based Network for Ship Target Detection in SAR Images

International Journal of Antennas and Propagation, Volume 2022, Issue 1, 2022., 2022
Recently, ship target detection in Synthetic aperture radar (SAR) images has become one of the current research hotspots and plays an important role in the real‐time detection of sea regions. The traditional SAR ship detection methods usually consist of two modules, one module named land‐sea segmentation for removing the complicated land regions, and ...
Peipei Zhang, Guokun Xie, Jinsong Zhang, Stefano Selleri   +3 more
wiley   +1 more source

[Retracted] Extraction of Long Time‐Series Vegetation Indices from Combined Multisource Satellite Imagery

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
Extracting vegetation cover information by combining multisource satellite images can improve the time scale of vegetation cover monitoring, realize encrypted observation in short period, and shorten the regional vegetation remote sensing monitoring cycle.
Yu Liu, Wenqing Li, Li Li, Naiqun Zhang, Muhammad Zubair Asghar   +4 more
wiley   +1 more source

An efficient decision support system for flood inundation management using intermittent remote-sensing data [PDF]

, 2021
: Timely acquisition of spatial flood distribution is an essential basis for flood-disaster monitoring and management. Remote-sensing data have been widely used in water-body surveys. However, due to the cloudy weather and complex geomorphic environment,
Dai, Xiaoyi, Ruan, Xuejing, Shou, Wenchi (R19820), Sun, Hai, Wang, Jun (R20511)   +4 more
core   +1 more source

Blue‐Green Space Changes of Baiyangdian Wetland in Xiong’an New Area, China

Advances in Meteorology, Volume 2022, Issue 1, 2022., 2022
As a regulator of ecological environment, Baiyangdian Wetland is in a pivotal position in constructing the blue‐green space (BGS) of Xiong’an New Area in China. This study aims to reveal the spatiotemporal changes of the BGS in Baiyangdian Wetland from 2016 to 2021.
Chunlei Zhao, Shuan Qian, Chengzhen Meng, Yufei Chang, Wenzhe Guo, Sha Wang, Yinglong Sun, Upaka Rathnayake   +7 more
wiley   +1 more source

CMIR-NET : A Deep Learning Based Model For Cross-Modal Retrieval In Remote Sensing [PDF]

, 2019
We address the problem of cross-modal information retrieval in the domain of remote sensing. In particular, we are interested in two application scenarios: i) cross-modal retrieval between panchromatic (PAN) and multi-spectral imagery, and ii) multi ...
Banerjee, Biplab, Bhattacharya, Avik, Chaudhuri, Ushasi, Datcu, Mihai   +3 more
core   +2 more sources

Extracting Wetland Type Information with a Deep Convolutional Neural Network

Computational Intelligence and Neuroscience, Volume 2022, Issue 1, 2022., 2022
Wetlands have important ecological value. The application of wetland remote sensing is essential for the timely and accurate analysis of the current situation in wetlands and dynamic changes in wetland resources, but high‐resolution remote sensing images display nonobvious boundaries between wetland types. However, high classification accuracy and time
XianMing Guan, Di Wang, Luhe Wan, Jiyi Zhang, Ripon Chakrabortty   +4 more
wiley   +1 more source

Imaging time series for the classification of EMI discharge sources [PDF]

, 2018
In this work, we aim to classify a wider range of Electromagnetic Interference (EMI) discharge sources collected from new power plant sites across multiple assets. This engenders a more complex and challenging classification task.
Boreham, Philip, Hughes-Narborough, Michael, Mitiche, Imene, Morison, Gordon, Nesbitt, Alan, Stewart, Brian G.   +5 more
core   +2 more sources

National Sea Area Use Dynamic Monitoring Based on GF-3 SAR Imagery

Leida xuebao, 2017
GaoFen-3 (GF-3) is the first commercial C-Band multi-polarimetric Synthetic Aperture Radar (SAR) satellite that was launched by China. The characteristics observed by both all-day and all-weather observation depict significant advantages of national sea ...
Fan Jianchao, Wang Deyi, Zhao Jianhua, Song Derui, Han Min, Jiang Dawei   +5 more
doaj   +1 more source

Robust boundary extraction of great lakes by blocking Active Contour Model using Chinese GF-3 SAR data: a case study of Danjiangkou reservoir, China

The Journal of Engineering, 2019
Chinese Gaofen-3 (GF-3) satellite is a spaceborne multi-polarisation synthetic aperture radar (SAR) mission in C-band and it can be applied in the multiple fields. GF-3 can achieve accurate water boundary extraction based on its high-resolution SAR image
Shilin Niu, Ning Li, Zhengwei Guo, Robert Wang, Yuexiu Guo, Lin Wu, Jianhui Zhao   +6 more
doaj   +1 more source