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Tensor structure-based ground clutter suppression approaches for pulse doppler radar 基于张量结构的脉冲多普勒雷达地面杂波抑制方法
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-04-03 DOI: 10.1080/2150704x.2024.2334195
Bangzhen Xu, Xingyu Lu, Hong Gu, Weimin Su
For pulse doppler (PD) radar, two tensor structure-based methods are proposed to improve the clutter suppression performance. One is tensor singular value decomposition (TSVD) and the other is tens...
针对脉冲多普勒(PD)雷达,提出了两种基于张量结构的方法来提高杂波抑制性能。一种是张量奇异值分解法(TSVD),另一种是张量...
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引用次数: 0
SGMFNet: a remote sensing image object detection network based on spatial global attention and multi-scale feature fusion SGMFNet:基于空间全局关注和多尺度特征融合的遥感图像目标检测网络
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-04-03 DOI: 10.1080/2150704x.2024.2334194
Xiaolin Gong, Daqing Liu
When natural image detection methods are applied to remote sensing images, their detection performance is often unsatisfactory due to the random distribution of objects, complex backgrounds, and si...
当将自然图像检测方法应用于遥感图像时,由于物体的随机分布、复杂的背景、以及图像中的...
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引用次数: 0
A method for detecting the number of wheat ears based on the improved YOLOX model 基于改进的 YOLOX 模型的麦穗数检测方法
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-26 DOI: 10.1080/2150704x.2024.2318755
Xiaolu Yan, Qin Ma, Quanlong Feng
Ear count serves as a crucial parameter for estimating wheat yield, holding great significance in crop phenotypic parameter calculations, yield predictions and wheat ear density management. To accu...
穗数是估算小麦产量的关键参数,在作物表型参数计算、产量预测和小麦穗密度管理方面具有重要意义。为了准确地估算小麦...
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引用次数: 0
Efficient low-overlapping point cloud registration based on two-stage network learning 基于两级网络学习的高效低重叠点云注册
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-25 DOI: 10.1080/2150704x.2024.2331974
Zhenghua Zhang, Guoliang Chen, Xuan Wang
This letter introduces an efficient registration method for large-scale point clouds with low overlap, which adopts a two-stage transformation learning process. In the first stage, we integrate a p...
本文介绍了一种针对低重叠度大规模点云的高效注册方法,该方法采用两阶段变换学习过程。在第一阶段,我们整合了点云的...
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引用次数: 0
Detecting rotated ships in SAR images using a streamlined ship detection network and gliding phases 利用精简的船舶探测网络和滑行阶段探测合成孔径雷达图像中的旋转船舶
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-25 DOI: 10.1080/2150704x.2024.2334193
Wenbo Yu, Jiamu Li, Zijian Wang, Zhongjun Yu, Yunhua Luo, Yabo Liu, Jie Feng
Deep learning methods have greatly promoted the ship detection performance in synthetic aperture radar (SAR) images. However, due to the different imaging mechanisms and target characteristics, det...
深度学习方法大大提高了合成孔径雷达(SAR)图像中的船舶探测性能。然而,由于成像机制和目标特征的不同,探测船舶的方法也不尽相同。
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引用次数: 0
A thermal infrared remote sensing approach for estimating soil porosity 估算土壤孔隙度的热红外遥感方法
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-18 DOI: 10.1080/2150704x.2024.2329526
Saeid Asadzadeh, Carlos Roberto de Souza Filho
Porosity is a significant property of soil, yet an elusive parameter to retrieve from remote sensing data. Here, an empirical relationship between soil water contents and infrared emissivity is emp...
孔隙度是土壤的一个重要属性,但却是一个难以从遥感数据中获取的参数。在此,我们利用土壤含水量与红外发射率之间的经验关系,对土壤中的孔隙度进行了分析。
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引用次数: 0
A global patch similarity-based graph for unsupervised SAR image change detection 用于无监督合成孔径雷达图像变化检测的基于全局斑块相似性的图形
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-17 DOI: 10.1080/2150704x.2024.2327085
Jun Wang, Fei Zeng, Anjun Zhang, Ting You
This letter presents a novel method for synthetic aperture radar (SAR) image change detection using the global patch similarity-based graph (GPSG). First, the SAR image is divided into a number of ...
本文提出了一种利用基于全局斑块相似性图(GPSG)进行合成孔径雷达(SAR)图像变化检测的新方法。首先,将合成孔径雷达图像划分为若干...
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引用次数: 0
Prediction of sea-surface salinity using MODIS and Sentinel-3 data 利用 MODIS 和 Sentinel-3 数据预测海面盐度
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-14 DOI: 10.1080/2150704x.2024.2329525
Pankaj Patidar, Dnyaneshwar Gawai, Somsubhra Chakraborty, Subhadip Dey
Precise estimation of Sea Surface Salinity (SSS) is of prime importance to know marine physical and biochemical processes. In this manuscript we have utilized the Random Forest (RF) and Support Vec...
精确估算海表盐度(SSS)对了解海洋物理和生物化学过程至关重要。在本手稿中,我们利用随机森林(RF)和支持向量(Support Vec...
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引用次数: 0
Spatial–temporal patterns of ecological changes in the Dongting Lake region and their responses to climate factors and human activities 洞庭湖区生态变化的时空格局及其对气候因素和人类活动的响应
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-13 DOI: 10.1080/2150704x.2024.2319653
Shunshi Hu, Yunqian Zhou, Yi Cen
The Dongting Lake region is an important ecological and environmental protection zone in the Yangtze River Economic Belt of China. Long-term monitoring and evaluation of its ecological environment ...
洞庭湖区是中国长江经济带重要的生态环境保护区。对洞庭湖生态环境的长期监测与评价 ...
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引用次数: 0
Downscaling MODIS NDSI to Sentinel-2 fractional snow cover by random forest regression 通过随机森林回归将 MODIS NDSI 降级为 Sentinel-2 分数雪覆盖率
IF 2.3 4区 地球科学 Q3 IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY Pub Date : 2024-03-13 DOI: 10.1080/2150704x.2024.2327084
Andreas Kollert, Andreas Mayr, Stefan Dullinger, Karl Hülber, Dietmar Moser, Stef Lhermitte, Simon Gascoin, Martin Rutzinger
Imagery acquired by the Moderate-resolution Imaging Spectroradiometer (MODIS) provides a global archive of dailyNormalized Difference Snow Index (NDSI) at 500 m nominal resolution since the year 20...
中分辨率成像分光仪(MODIS)获取的图像提供了自20世纪20年代以来500米标称分辨率的每日归一化差异积雪指数(NDSI)的全球档案。
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引用次数: 0
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Remote Sensing Letters
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