Results 21 to 30 of about 54,901 (283)
Imaging plant germline differentiation within Arabidopsis flowers by light sheet microscopy [PDF]
, 2020 In higher plants, germline differentiation occurs during a relatively short period within developing flowers. Understanding of the mechanisms that govern germline differentiation lags behind other plant developmental processes.
Bainar, Petr +8 more
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STF-EGFA: A Remote Sensing Spatiotemporal Fusion Network with Edge-Guided Feature Attention
Remote Sensing, 2022 Spatiotemporal fusion in remote sensing plays an important role in Earth science applications by using information complementarity between different remote sensing data to improve image performance.
Feifei Cheng +5 more
doaj +1 more source
Comparison of Five Spatio-Temporal Satellite Image Fusion Models over Landscapes with Various Spatial Heterogeneity and Temporal Variation [PDF]
, 2019 In recent years, many spatial and temporal satellite image fusion (STIF) methods have been developed to solve the problems of trade-off between spatial and temporal resolution of satellite sensors.
Chen, Xiuwan +4 more
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Remote Sensing, 2020 Many spatiotemporal image fusion methods in remote sensing have been developed to blend highly resolved spatial images and highly resolved temporal images to solve the problem of a trade-off between the spatial and temporal resolution from a single ...
Shuwei Hou +6 more
doaj +1 more source
An Enhanced Deep Convolutional Model for Spatiotemporal Image Fusion [PDF]
Remote Sensing, 2019 Earth observation data with high spatiotemporal resolution are critical for dynamic monitoring and prediction in geoscience applications, however, due to some technique and budget limitations, it is not easy to acquire satellite images with both high spatial and high temporal resolutions.
Zhenyu Tan +4 more
openaire +1 more source
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Mosaicking of remote sensing images stitches images of different moments or sensors to produce a new image under a uniform geographic coordinate system.
Jingbo Wei, Wenchao Tang, Chaoqi He
doaj +1 more source
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification [PDF]
, 2017 Dynamic Textures (DTs) are sequences of images of moving scenes that exhibit certain stationarity properties in time such as smoke, vegetation and fire. The analysis of DT is important for recognition, segmentation, synthesis or retrieval for a range of ...
Andrearczyk, Vincent, Whelan, Paul F.
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Spatiotemporal Fusion of Remote Sensing Image Based on Deep Learning [PDF]
Journal of Sensors, 2020 High spatial and temporal resolution remote sensing data play an important role in monitoring the rapid change of the earth surface. However, there is an irreconcilable contradiction between the spatial and temporal resolutions of the remote sensing image acquired from a same sensor.
Xiaofei Wang, Xiaoyi Wang
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Optimization-Based Hyperspectral Spatiotemporal Super-Resolution
IEEE Access, 2022 Due to hardware limitations and financial considerations, it is challenging to acquire fine spatial and temporal resolution (FSFT) images, which leads to the interest in spatiotemporal fusion problems. Instead of directly obtaining costly FSFT images, an
Pai-Chuan Chang +4 more
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Spatiotemporal Fusion of Satellite Images via Very Deep Convolutional Networks [PDF]
Remote Sensing, 2019 Spatiotemporal fusion provides an effective way to fuse two types of remote sensing data featured by complementary spatial and temporal properties (typical representatives are Landsat and MODIS images) to generate fused data with both high spatial and temporal resolutions.
Yuhui Zheng +4 more
openaire +2 more sources