Extraction of Earth Surface Texture Features from Multispectral Remote Sensing Data by Zhenxing Zhang, Feng Gao, Bin Ma, Zhiqiang Zhang

“…To verify the effectiveness of this approach, several experiments are conducted and indicate that it could retain the coordination relationship among multispectral remote sensing data, and compared with the traditional single-band texture analysis method that is based on gray level co-occurrence matrix, the proposed approach has higher classification precision and efficiency.…”
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Geometric Alignment Improves Wheat NDVI Calculation from Ground-Based Multispectral Images by Md Asrakul Haque, Md Nasim Reza, Md Rejaul Karim, Md Razob Ali, Samsuzzaman, Kyung-Do Lee, Yeong Ho Kang, Sun-Ok Chung

“…An active sensor was used to provide reference data for assessing multispectral measurement. A program was developed using the Python (ver. 3.10) programming language to process the global navigation satellite system (GNSS) coordinates and segment the images to align with the FOV of the active sensor and extracting the reflectance data for NDVI calculation. …”
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Combining multispectral and high-resolution 3D imaging for leaf vein segmentation and density measurement by Yi-Hong Liao, Song Zhang

“…By leveraging digital fringe projection, our system captures grayscale, multispectral, and 3D topographical data within a unified coordinate system. …”
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Research on the Identification of Wheat Fusarium Head Blight Based on Multispectral Remote Sensing from UAVs by Ping Dong, Ming Wang, Kuo Li, Hongbo Qiao, Yuyang Zhao, Fernando Bacao, Lei Shi, Wei Guo, Haiping Si

“…Addressing the limitations of current deep learning models in capturing detailed features from UAV imagery, this study proposes an advanced identification model for FHB in wheat based on multispectral imagery from UAVs. The model leverages the U²Net network as its baseline, incorporating the Coordinate Attention (CA) mechanism and the RFB-S (Receptive Field Block—Small) multi-scale feature extraction module. …”
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Hyperspectral and Multispectral Remote Sensing Image Fusion Based on a Retractable Spatial–Spectral Transformer Network by Yilin He, Heng Li, Miaosen Zhang, Shuangqi Liu, Chunyu Zhu, Bingxia Xin, Jun Wang, Qiong Wu

“…Hyperspectral and multispectral remote sensing image fusion is an optimal approach for generating hyperspectral–spatial-resolution images, effectively overcoming the physical limitations of sensors. …”
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Typical Crop Classification of Agricultural Multispectral Remote Sensing Images by Fusing Multi-Attention Mechanism ResNet Networks by Zongpu Li, Zhiyun Xiao, Yulong Zhou, Tengfei Bao

“…By acquiring and preprocessing multispectral remote sensing image data, an improved ResNet50 model integrating the ACmix self-attention module and a coordinate attention mechanism is developed to enhance the classification and recognition accuracy of these crops. …”
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A Coordination Law for Multiple Air Vehicles in Distributed Communication Scenarios by Zhongtao Cheng, Mao Su, Lei Liu, Bo Wang, Yongji Wang

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Large-Scale Topographic Mapping Using RTK-GNSS and Multispectral UAV Drone Photogrammetric Surveys: Comparative Evaluation of Experimental Results by Siyandza M. Dlamini, Yashon O. Ouma

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Dictionary Learning Based on Nonnegative Matrix Factorization Using Parallel Coordinate Descent by Zunyi Tang, Shuxue Ding, Zhenni Li, Linlin Jiang

“…Since the nonnegativities of the signals and the dictionary are required in some applications, for example, multispectral data analysis, the conventional dictionary learning methods imposed simply with nonnegativity may become inapplicable. …”
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Characterization of Irrigated Rice Cultivation Cycles and Classification in Brazil Using Time Series Similarity and Machine Learning Models with Sentinel Imagery by Andre Dalla Bernardina Garcia, Ieda Del’Arco Sanches, Victor Hugo Rohden Prudente, Kleber Trabaquini

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Irrigated rice-field mapping in Brazil using phenological stage information and optical and microwave remote sensing by Andre Dalla Bernardina Garcia, MD Samiul Islam, Victor Hugo Rohden Prudente, Ieda Del’Arco Sanches, Irene Cheng

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Algorithm for Control of Unmanned Aerial Vehicles in the Process of Visual Tracking of Objects with a Variable Movement’s Trajectory by A. A. Adnastarontsau, D. A. Adnastarontsava, R. V. Fiodortsev, D. V. Katser, A. Y. Liavonau, D. V. Romanov, D. N. Tcherniakovski, A. О. Mikhailau

“…Specialized software in the FreeRTOS v9.0 environment has been developed to obtain a navigation solution: latitude, longitude and altitude of the unmanned aerial vehicle in the WGS-84 coordinate system, as well as the pitch, heading and roll angles; north, east and vertical components of velocities in the navigation coordinate system; longitudinal, vertical and transverse components of free accelerations and angular velocities in the associated coordinate system based on data from the receiving and measuring module of the Global Navigation Satellite System and data from the 6-axis MEMS sensor STIM300.…”
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A general spectral bandpass adjustment function (SBAF) for harmonizing landsat-sentinel over inland and coastal waters by Thainara M.A. Lima, Vitor S. Martins, Rejane S. Paulino, Cassia B. Caballero, Daniel A. Maciel, Claudia Giardino

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Feature Interaction and Adaptive Fusion Network With Spectral Modulation for Pansharpening by Lihua Jian, Jiabo Liu, Lihui Chen, Di Zhang, Gemine Vivone, Xichuan Zhou

“…Pansharpening aims to reconstruct high-resolution multispectral (HRMS) images from low-resolution multispectral (LRMS) images and high-resolution panchromatic (PAN) data. …”
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Hyperspectral Image Joint Super-Resolution via Local Implicit Spatial-Spectral Function Learning by Yanan Zhang, Jizhou Zhang, Sijia Han

“…The encoder converts the low spatial resolution multispectral image (LR-MSI) into deep features and the decoder predicts the intensity values at the given coordinates as output. …”
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THE METHOD OF GEOMETRIC CALIBRATION OF OPTOELECTRONIC SYSTEMS BASED ON ELECTRONIC TEST OBJECT by D. A. Kozhevnikov, R. V. Feodortsau

“…The calculation of the test string brightness image from its multispectral image and filtered signal extrema position determination are presented. …”
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Classification of single tree decay stages from combined airborne LiDAR data and CIR imagery by Tsz-Chung Wong, Abubakar Sani-Mohammed, Jinhong Wang, Puzuo Wang, Wei Yao, Marco Heurich

“…Finally, the classification is conducted on the two datasets (3D multispectral point clouds and 2D projected images) based on the three ML algorithms. …”
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Nondestructive detection of sweet potato leaf curl virus using 3D laser imaging combined with deep learning by Yican Yang, Nuwan K. Wijewardane, Tyler J. Slonecki, Phillip A. Wadl, Sharon A. Andreason, Jingdao Chen, Lorin Harvey

“…Spatial coordinates (X, Y, Z) and color information (R, G, B) of sweetpotato leaf point cloud data were used to develop and improve the efficiency of the classification process. …”
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Integration of ground-based and remote sensing data with deep learning algorithms for mapping habitats in Natura 2000 protected oak forests by Lucia Čahojová, Ivan Jarolímek, Barbora Klímová, Michal Kollár, Michaela Michalková, Karol Mikula, Aneta A. Ožvat, Denisa Slabejová, Mária Šibíková

“…Oak-dominated forest habitats were differentiated solely through multispectral data obtained from Sentinel-2 satellites. …”
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Estimation of aboveground biomass in Tajikistan based on upscaling extrapolation of UAV and Sentinel-2 multi-source data synergy by Lina Hao, Huping Ye, Shuang He, Xinyu Zhang, Dalai Bayin, Mustafo Safarov, Mekhrovar Okhonniyozov, Xiaohan Liao

“…Specifically, our analyses combine UAV and Sentinel-2 multispectral imagery with field-measured data to construct and optimize eight models for AGB estimation at different spatial scales, and apply the dynamic sampling scale-up method to enhance estimation accuracy. …”
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