scale variation
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Crop Science ◽  
2021 ◽  
Author(s):  
Alice H. MacQueen ◽  
Colin K. Khoury ◽  
Phil Miklas ◽  
Phillip E. McClean ◽  
Juan M. Osorno ◽  
...  

2021 ◽  
Author(s):  
Zhao-jun Yan ◽  
Carmelo Arcidiacono ◽  
Thomas Herbst

2021 ◽  
Vol 13 (24) ◽  
pp. 5015
Author(s):  
Libo Wang ◽  
Ce Zhang ◽  
Rui Li ◽  
Chenxi Duan ◽  
Xiaoliang Meng ◽  
...  

Assigning geospatial objects with specific categories at the pixel level is a fundamental task in remote sensing image analysis. Along with the rapid development of sensor technologies, remotely sensed images can be captured at multiple spatial resolutions (MSR) with information content manifested at different scales. Extracting information from these MSR images represents huge opportunities for enhanced feature representation and characterisation. However, MSR images suffer from two critical issues: (1) increased scale variation of geo-objects and (2) loss of detailed information at coarse spatial resolutions. To bridge these gaps, in this paper, we propose a novel scale-aware neural network (SaNet) for the semantic segmentation of MSR remotely sensed imagery. SaNet deploys a densely connected feature network (DCFFM) module to capture high-quality multi-scale context, such that the scale variation is handled properly and the quality of segmentation is increased for both large and small objects. A spatial feature recalibration (SFRM) module was further incorporated into the network to learn intact semantic content with enhanced spatial relationships, where the negative effects of information loss are removed. The combination of DCFFM and SFRM allows SaNet to learn scale-aware feature representation, which outperforms the existing multi-scale feature representation. Extensive experiments on three semantic segmentation datasets demonstrated the effectiveness of the proposed SaNet in cross-resolution segmentation.


2021 ◽  
Vol 8 ◽  
Author(s):  
Qiang Ma ◽  
Yusheng Qiu ◽  
Run Zhang ◽  
E Lv ◽  
Yipu Huang ◽  
...  

The 210Po/210Pb disequilibrium was attempted to reveal the small-scale particle dynamics in the eastern tropical North Pacific. Seawater samples in the full water column were collected from three sites in the Tehuantepec bowl near the East Pacific Ridge for determination of dissolved and particulate 210Po and 210Pb. Our results show that TPo/TPb activity ratios in the full water column at the three sites are less than 1, with an average of 0.56, indicating that the total 210Po in the oligotrophic sea is significantly deficient. The activity ratios of DPo/DPb in the dissolved phase are less than 1, while those in the particulate phase are greater than 1 (except for the bottom 300 m), indicating fractionation between 210Po and 210Pb in the scavenging process. A negative linear relationship between 210Po deficit and silicate proves that biological activities are responsible for 210Po deficiency in the upper 200 m. However, the deficit of 210Po in the bottom 300 m may be caused by the horizontal transport of the hydrothermal plume. After correcting the horizontal contribution, the removal rates of 210Po for the 200–1,500 m and the bottom 300 m layers increased by 7.5–21 and 26.1–29.5%, respectively. Correspondingly, the variation range of the residence time of a total 210Po became smaller. Our calculations suggest that horizontal transport is acting as a stabilizer for small-scale variation in the 210Po deficit in the eastern tropical North Pacific. Our study highlights the need to pay more attention to the small-scale variation of 210Po deficit when applying 210Po/210Pb disequilibria to trace biogeochemical processes, and the mechanism responsible for this variation deserves further study.


2021 ◽  
Vol 79 ◽  
pp. 64-76
Author(s):  
Stijn Verschueren ◽  
Willem D. Briers-Louw ◽  
Pedro Monterroso ◽  
Laurie Marker

Oecologia ◽  
2021 ◽  
Author(s):  
Drew E. Spacht ◽  
J. D. Gantz ◽  
Jack J. Devlin ◽  
Eleanor A. McCabe ◽  
Richard E. Lee ◽  
...  
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