Remote Sensing, Vol. 16, Pages 1423: Lightweight Deep Neural Network with Data Redundancy Removal and Regression for DOA Estimation in Sensor Array Remote Sensing doi: 10.3390/rs16081423 Authors: Aifei Liu Jiapeng Guo Yauhen Arnatovich Zhiling Liu In this paper, a lightweight deep neural network (DNN) for direction of arrival (DOA) estimation is proposed, of which the input vector is designed to remove data redundancy as well as remaining DOA information. By exploring the Vandermonde property of the steering vector of a uniform linear array (ULA), the size of the newly designed input vector is ..read more

Remote Sensing, Vol. 16, Pages 1425: Comprehensive Assessment and Analysis of the Current Global Aerosol Optical Depth Products Remote Sensing doi: 10.3390/rs16081425 Authors: Liping Zhang Xufeng Wang Guanghui Huang Songlin Zhang Aerosol Optical Depth (AOD) is one of the most important optical properties of aerosols that may affect the energy budgets of our Earth–atmosphere system significantly. Currently, while regional and even global AOD knowledge has been given by various satellites or models, these products are still fraught with uncertainties. In this study, one sophisticat ..read more

Remote Sensing, Vol. 16, Pages 1431: Radar Signal Classification with Multi-Frequency Multi-Scale Deformable Convolutional Networks and Attention Mechanisms Remote Sensing doi: 10.3390/rs16081431 Authors: Ruofei Liang Yigang Cen In the realm of short-range radar applications, the focus on detecting “low, slow, and small” (LSS) targets has escalated, marking a pivotal aspect of critical area defense. This study pioneers the use of one-dimensional convolutional neural networks (1D-CNNs) for direct slow-time dimension radar feature extraction, sidestepping the complexi ..read more

Remote Sensing, Vol. 16, Pages 1432: Calculation Model of Radar Terrain Masking Based on Tensor Grid Dilation Operator Remote Sensing doi: 10.3390/rs16081432 Authors: Kaiyu Nie Shengliang Fang Hao Liu Xiaofeng Wei Yamin Zhang Jianpeng Yang Qinglei Kong Bo Chen In recent years, the three-dimensional (3D) radar detection range has played an essential role in the layout of devices such as aircraft and drones. To compensate for the shortcomings of three-dimensional calculations for radar terrain masking, a new calculation method is proposed for assessing the terrain occlusion of radar detection ra ..read more

Remote Sensing, Vol. 16, Pages 1433: Assessing Drought Stress of Sugarcane Cultivars Using Unmanned Vehicle System (UAS)-Based Vegetation Indices and Physiological Parameters Remote Sensing doi: 10.3390/rs16081433 Authors: Ittipon Khuimphukhieo Mahendra Bhandari Juan Enciso Jorge A. da Silva Sugarcane breeding for drought tolerance is a sustainable strategy to cope with drought. In addition to biotechnology, high-throughput phenotyping has become an emerging tool for plant breeders. The objectives of the present study were to (1) identify drought-tolerant cultivars using vegetation indices (VI ..read more

Remote Sensing, Vol. 16, Pages 1434: Assessment of the Real-Time and Rapid Precise Point Positioning Performance Using Geodetic and Low-Cost GNSS Receivers Remote Sensing doi: 10.3390/rs16081434 Authors: Mengmeng Chen Lewen Zhao Wei Zhai Yifei Lv Shuanggen Jin Precise Point Positioning (PPP), coupled with the ambiguity resolution (AR) method, has demonstrated substantial potential in fields like agricultural navigation and airborne mapping. However, there remains a notable deficiency in the comprehensive comparative evaluation of its performance when using rapid and real-time satellite product ..read more

Remote Sensing, Vol. 16, Pages 1427: An Optimized Variational Processing Method Based on Satellite-Station Data on Snow Cover Days on the Qinghai–Tibet Plateau Remote Sensing doi: 10.3390/rs16081427 Authors: Xiaoying Xue Xiangde Xu Runze Zhao Wenyue Cai The Qinghai–Tibet Plateau is a sensitive area to climate change, and snow cover has an important impact. Due to the high altitude and complex terrain, station observations of snow cover on the plateau are sparse but objective, while satellite data have high resolution but limited accuracy. Therefore, an optimized variati ..read more

Remote Sensing, Vol. 16, Pages 1428: Transfer-Aware Graph U-Net with Cross-Level Interactions for PolSAR Image Semantic Segmentation Remote Sensing doi: 10.3390/rs16081428 Authors: Shijie Ren Feng Zhou Lorenzo Bruzzone Although graph convolutional networks have found application in polarimetric synthetic aperture radar (PolSAR) image classification tasks, the available approaches cannot operate on multiple graphs, which hinders their potential to generalize effective feature representations across different datasets. To overcome this limitation and achieve robust PolSAR image classification, t ..read more

Remote Sensing, Vol. 16, Pages 1429: Assessing Satellite-Derived OpenET Platform Evapotranspiration of Mature Pecan Orchard in the Mesilla Valley, New Mexico Remote Sensing doi: 10.3390/rs16081429 Authors: Zada M. Tawalbeh A. Salim Bawazir Alexander Fernald Robert Sabie Richard J. Heerema Pecan is a major crop in the Mesilla Valley, New Mexico. Due to prolonged droughts, growers face challenges related to water shortages. Therefore, irrigation management is crucial for farmers. Advancements in satellite-derived evapotranspiration (ET) models and accessibility to data from web-based platforms l ..read more

Remote Sensing, Vol. 16, Pages 1426: Through-Wall Imaging Using Low-Cost Frequency-Modulated Continuous Wave Radar Sensors Remote Sensing doi: 10.3390/rs16081426 Authors: Mirel Paun Many fields of human activity benefit from the ability to create images of obscured objects placed behind walls and to map their displacement in a noninvasive way. Usually, imaging devices like Synthetic Aperture Radars (SARs) and Ground-Penetrating Radars (GPRs) use expensive dedicated electronics which results in prohibitive prices. This paper presents the experimental implementation and the results obtained from ..read more