Search Results - "Zhou, Ya'nan"

Deep learning for processing and analysis of remote sensing big data: a technical review by Zhang, Xin, Zhou, Ya'nan, Luo, Jiancheng

“…In recent years, the rapid development of Earth observation technology has produced an increasing growth in remote sensing big data, posing serious challenges…”
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Long-short-term-memory-based crop classification using high-resolution optical images and multi-temporal SAR data by Zhou, Ya'nan, Luo, Jiancheng, Feng, Li, Yang, Yingpin, Chen, Yuehong, Wu, Wei

“…Farmland parcel-based crop classification using satellite data plays an important role in precision agriculture. In this study, a deep-learning-based…”
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Adaptive Scale Selection for Multiscale Segmentation of Satellite Images by Zhou, Yanan, Li, Jun, Feng, Li, Zhang, Xin, Hu, Xiaodong

“…With dramatically increasing of the spatial resolution of satellite imaging sensors, object-based image analysis (OBIA) has been gaining prominence in remote…”
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For-backward LSTM-based missing data reconstruction for time-series Landsat images by Zhou, Ya'nan, Wang, Shunying, Wu, Tianjun, Feng, Li, Wu, Wei, Luo, Jiancheng, Zhang, Xin, Yan, Na'na

“…Reconstructing the missing data for cloud/shadow-covered optical satellite images has great significance for enhancing the data availability and multi-temporal…”
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Hierarchical classification for improving parcel-scale crop mapping using time-series Sentinel-1 data by Ya'nan, Zhou, Weiwei, Zhu, Li, Feng, Jianwei, Gao, Yuehong, Chen, Xin, Zhang, Jiancheng, Luo

“…Parcel-scale crop classification utilizing time-series satellite observations is of significant importance in precision agriculture. The prior knowledge that…”
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Enhancing Land Cover Mapping through Integration of Pixel-Based and Object-Based Classifications from Remotely Sensed Imagery by Chen, Yuehong, Zhou, Ya’nan, Ge, Yong, An, Ru, Chen, Yu

“…Pixel-based and object-based classifications are two commonly used approaches in extracting land cover information from remote sensing images. However, they…”
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BSNet: Boundary-semantic-fusion network for farmland parcel mapping in high-resolution satellite images by Shunying, Wang, Ya'nan, Zhou, Xianzeng, Yang, Li, Feng, Tianjun, Wu, Jiancheng, Luo

“…•Fusion of boundary and semantic features could improve the farmland parcel mapping.•A general DCN framework consisting of boundary, semantic & fusion blocks…”
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Abandoned Land Mapping Based on Spatiotemporal Features from PolSAR Data via Deep Learning Methods by Yang, Yingpin, Wu, Zhifeng, Xiao, Wenju, Zhou, Ya’nan, Huang, Qiting, Wu, Tianjun, Luo, Jiancheng, Wang, Haiyun

“…Monitoring agricultural abandonment is essential in understanding the effects on the environment and food security. Polarimetric synthetic aperture radar…”
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Geo-Object-Based Land Cover Map Update for High-Spatial-Resolution Remote Sensing Images via Change Detection and Label Transfer by Wu, Tianjun, Luo, Jiancheng, Zhou, Ya’nan, Wang, Changpeng, Xi, Jiangbo, Fang, Jianwu

“…Land cover (LC) information plays an important role in different geoscience applications such as land resources and ecological environment monitoring…”
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Signaling pathways and regulatory networks in quail skeletal muscle development: insights from whole transcriptome sequencing by Zhang, Wentao, Liu, Jing, Zhou, Ya'nan, Liu, Shuibing, Wu, Jintao, Jiang, Hongxia, Xu, Jiguo, Mao, Huirong, Liu, Sanfeng, Chen, Biao

“…Quail, as an advantageous avian model organism due to its compact size and short reproductive cycle, holds substantial potential for enhancing our…”
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Maize plant height automatic reading of measurement scale based on improved YOLOv5 lightweight model by Li, Jiachao, Zhou, Ya'nan, Zhang, He, Pan, Dayu, Gu, Ying, Luo, Bin

“…Plant height is a significant indicator of maize phenotypic morphology, and is closely related to crop growth, biomass, and lodging resistance. Obtaining the…”
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Contrastive-Learning-Based Time-Series Feature Representation for Parcel-Based Crop Mapping Using Incomplete Sentinel-2 Image Sequences by Zhou, Ya’nan, Wang, Yan, Yan, Na’na, Feng, Li, Chen, Yuehong, Wu, Tianjun, Gao, Jianwei, Zhang, Xiwang, Zhu, Weiwei

“…Parcel-based crop classification using multi-temporal satellite optical images plays a vital role in precision agriculture. However, optical image sequences…”
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Recognition of maize seed varieties based on hyperspectral imaging technology and integrated learning algorithms by Yang, Huan, Wang, Cheng, Zhang, Han, Zhou, Ya'nan, Luo, Bin

“…Purity is an important factor of maize seed quality that affects yield, and traditional seed purity identification methods are costly or time-consuming. To…”
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Spatial prediction using random forest spatial interpolation with sample augmentation: a case study for precipitation mapping by Sijia, Jiao, Tianjun, Wu, Jiancheng, Luo, Ya’nan, Zhou, Wen, Dong, Changpeng, Wang, Shiying, Dong

“…Spatial prediction(SP) based on machine learning(ML) has been applied to soil water quality, air quality, marine environment, etc. However, there are still…”
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Geo-Object-Based Vegetation Mapping via Machine Learning Methods with an Intelligent Sample Collection Scheme: A Case Study of Taibai Mountain, China by Wu, Tianjun, Luo, Jiancheng, Gao, Lijing, Sun, Yingwei, Dong, Wen, Zhou, Ya’nan, Liu, Wei, Hu, Xiaodong, Xi, Jiangbo, Wang, Changpeng, Yang, Yun

“…Precise vegetation maps of mountainous areas are of great significance to grasp the situation of an ecological environment and forest resources. In this paper,…”
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Spatial-temporal constraints for surface soil moisture mapping using Sentinel-1 and Sentinel-2 data over agricultural regions by Ya'nan, ZHOU, Binyao, WANG, Weiwei, ZHU, Li, FENG, Qisheng, HE, Xin, ZHANG, Tianjun, WU, Na'na, YAN

“…•Highly accurate SSM is essential for many applications.•A spatial–temporal constrained machine-learning-based method for SSM is developed.•The proposed model…”
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Superpixel-based time-series reconstruction for optical images incorporating SAR data using autoencoder networks by Zhou, Ya'nan, Yang, Xianzeng, Feng, Li, Wu, Wei, Wu, Tianjun, Luo, Jiancheng, Zhou, Xiaocheng, Zhang, Xin

“…Time-series reconstruction for cloud/shadow-covered optical satellite images has great significance for enhancing the data availability and temporal change…”
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Geoparcel-Based Spatial Prediction Method for Grassland Fractional Vegetation Cover Mapping by Wu, Tianjun, Luo, Jiancheng, Gao, Lijing, Sun, Yingwei, Yang, Yingpin, Zhou, Ya'nan, Dong, Wen, Zhang, Xin

“…Grassland resources guarantee the balance of ecosystems and the sustainable development of animal husbandry. Spatial information is essential for grass…”
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Facile construction of MoS2/RCF electrode for high-performance supercapacitor by Zhao, Chunhua, Zhou, Yanan, Ge, Zhengxiang, Zhao, Chongjun, Qian, Xiuzhen

“…Aligned reclaimed carbon fiber (RCF) was reused as a conductive support to load hierarchical molybdenum disulfide (MoS2) spheres and thus MoS2/RCF composite…”
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Comparative analysis of the microstructures and mechanical properties of Co-Cr dental alloys fabricated by different methods by Zhou, Yanan, Li, Ning, Yan, Jiazhen, Zeng, Qiang

“…Limited information is available regarding the microstructures and mechanical properties of Co-Cr dental alloys prepared using conventional casting (CAST),…”
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