Article
Geochemistry & Geophysics
Zhenqiang Qin, Xian Li, Yanfeng Gu
Summary: In this article, a physics-based method is proposed to estimate and compensate illumination for the radiometric correction of UAV multispectral images (MSIs). The proposed method builds an illumination estimation model based on intraimage and interimage consistency hypotheses, and utilizes the physical imaging principle to alleviate the influence of varying illumination. Numerical experiments on three UAV datasets demonstrate that the proposed method outperforms current methods and significantly reduces the normalized root mean square error (NRMSE).
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Wanshan Peng, Yan Gong, Shenghui Fang, Yongjun Zhang, Jadunandan Dash, Jie Ren, Jiacai Mo
Summary: This article proposes a radiometric block adjustment model considering the vignetting effect and the light-dark differences between images. The method requires only a small number of calibration samples, reducing the complexity of the experiment. The results show that this method can compensate for vignetting to some extent and improve the radiometric consistency of the dataset.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2023)
Article
Geochemistry & Geophysics
Jie Han, Zui Tao, Yong Xie, Huina Li, Xiaoguo Guan, Hang Yi, Tingting Shi, Gengke Wang
Summary: This study addresses the insufficiency of cross-calibration methods in the wide field of view imaging system of the GaoFen-6 satellite. By using MODIS as a reference sensor, cross-calibration methods based on the TOA and BOA BRDF models are developed. The results show that the BOA BRDF model provides higher consistency with the official calibration coefficients in the cross-calibration of eight spectral bands.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Per-Ola Olsson, Ashish Vivekar, Karl Adler, Virginia E. Garcia Millan, Alexander Koc, Marwan Alamrani, Lars Eklundh
Summary: This study evaluated the accuracy of the Parrot Sequoia camera and sunshine sensor, revealing the impact of camera temperature sensitivity and atmospheric influence on images. Recommendations include preheating the camera and capturing images of reflectance calibration panels to compensate for atmospheric effects. The research also highlighted the significant influence of the sunshine sensor orientation, suggesting the use of smoothing functions for data processing. The developed workflow showed high correlation with data from a handheld spectroradiometer for vegetation index calculation.
Article
Engineering, Aerospace
Elahe Moradi, Alireza Sharifi
Summary: Radiometric calibration is a method of estimating the reflection of a target from measured input radiation. This study focused on radiometrically calibrating three spectral bands of Sentinel-2A using Landsat-8 OLI data for comparison. The study found that corrected data from Landsat-8 OLI had more valid results than data corrected and sharpened with panchromatic data.
AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY
(2021)
Article
Geochemistry & Geophysics
Jiale Jiang, Qiaofeng Zhang, Wenhui Wang, Yapeng Wu, Hengbiao Zheng, Xia Yao, Yan Zhu, Weixing Cao, Tao Cheng
Summary: In this study, a relative radiometric correction method for multiflight UAV images based on concurrent satellite imagery is proposed. The method shows better consistency and accuracy compared to traditional methods, and demonstrates stronger robustness and adaptability.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Remote Sensing
Xiaoteng Zhou, Chun Liu, Yun Xue, Akram Akbar, Shoujun Jia, Yuan Zhou, Doudou Zeng
Summary: This paper proposes an integrated indoor and outdoor radiometric calibration method, which corrects the vignetting effect and quantum efficiency using the lookup table (LUT) method and exponential nonlinear model respectively. Additionally, an empirical line method is presented to correct the atmospheric path radiance, improving the accuracy of reflectance calculation.
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION
(2022)
Article
Geochemistry & Geophysics
Lin Yan, Jun Li, Chenchao Xiao
Summary: This article conducts several vicarious radiometric calibration experiments for the second hyperspectral imager of China, the AHSI onboard the ZY1E satellite, and validates its good on-orbit radiometric status.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Yongkun Liu, Tengfei Long, Weili Jiao, Guojin He, Bo Chen, Peng Huang
Summary: This article proposes a general relative radiometric correction method based on the gray-level co-occurrence matrix (GLCM), which can effectively correct vignetting, chromatic aberration, and other problems in Level-0 images captured by spaceborne push-broom imaging system. The experiments show that the proposed method has good robustness and universality.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Agnieszka Jenerowicz, Damian Wierzbicki, Michal Kedzierski
Summary: This article provides a brief overview of existing techniques for radiometric correction of multispectral images. Radiometric correction is crucial in various applications, particularly in precision farming, forestry, and climate analysis. The paper introduces a new relative approach for obtaining baseline data by considering the terrain's inclination angle and the angle of incidence of electromagnetic radiation. The developed method enables accurate mapping and classification of terrestrial coverage based on spectral reflection characteristics, with an accuracy of over 95%.
Article
Geochemistry & Geophysics
Shaobo Li, Jianhu Zhao, Yongcan Yu, Yunlong Wu, Shaofeng Bian, Guojun Zhai
Summary: In this article, a novel radiometric correction method is proposed for side-scan sonar (SSS) images. By analyzing the SSS imaging theory and prior knowledge about SSS image characteristics, a decomposition model based on the SSS imaging theory is proposed, using low-rank constraint and anisotropic total variation constraint to constrain the illumination and albedo components of the image for radiometric distortion correction.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Geochemistry & Geophysics
Xueting Ran, Biao Cao, Boxiong Qin, Zunjian Bian, Yongming Du, Hua Li, Qing Xiao, Qinhuo Liu
Summary: The fitting ability of five kernel-driven models for angular correction of land surface temperature with limited observation angles was studied, providing insights for model selection in applications.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Chemistry, Analytical
J. Nicholas Taylor, Aurelien Pelissier, Kentaro Mochizuki, Kosuke Hashimoto, Yasuaki Kumamoto, Yoshinori Harada, Katsumasa Fujita, Thomas Bocklitz, Tamiki Komatsuzaki
Summary: Raman hyperspectral microscopy is a valuable tool in biological and biomedical imaging. However, contamination from extrinsic background significantly affects classification models. To mitigate this issue, researchers developed an extrinsic background correction method and demonstrated its use in combination with existing methods on Raman hyperspectral images.
ANALYTICAL CHEMISTRY
(2023)
Article
Environmental Sciences
Qingjun Song, Chaofei Ma, Jianqiang Liu, Xiaoxu Wang, Yu Huang, Guanyu Lin, Zhanfeng Li
Summary: This study proposes a time series analysis-based method to eliminate residual errors in the HY-1C Satellite Calibration Spectrometer (SCS), including modeling and correcting the SCS calibration coefficients using the STL method, and forecasting the coefficients using the LSTM method. The results show that the STL method effectively models and corrects calibration coefficient errors, while the LSTM method can fit and predict the coefficients, although with poor accuracy and interpretability.
Article
Remote Sensing
Xiaoyu Cheng, Zhouyin Cai, Maoxing Wen, Yueming Wang, Dan Zeng
Summary: A nonuniformity correction method for hyperspectral images based on superpixel region merging is proposed, showing effectiveness in eliminating nonuniformity without significant information loss according to experimental results.
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2021)
Article
Environmental Sciences
Juan M. Sanchez, Joan M. Galve, Jose Gonzalez-Piqueras, Ramon Lopez-Urrea, Raquel Niclos, Alfonso Calera
Article
Environmental Sciences
Amal Chakhar, David Hernandez-Lopez, Rocio Ballesteros, Miguel A. Moreno
Summary: This study assessed the potential of integrating Sentinel-1 and 2A data to perform crop classification and identified the most important input data for accurate results. The best performing scenario integrated VH and VV with NDVI using a cubic support vector machine (SVM) as the classifier.
Article
Environmental Sciences
David Hernandez-Lopez, Laura Piedelobo, Miguel A. Moreno, Amal Chakhar, Damian Ortega-Terol, Diego Gonzalez-Aguilera
Summary: Earth Observation imagery is challenging for intermediate users to access and utilize efficiently. This paper introduces a new approach to integrate imagery from two public optical satellite missions, Landsat 8 (L8) and Sentinel 2 (S2), using a Local Nested Grid (LNG) design. The LNG plays a crucial role in the development of new products in the European EO downstream sector, potentially leading to pre-operational downstream services.
Article
Biochemical Research Methods
Lloyd A. Courtenay, Diego Gonzalez-Aguilera, Susana Laguela, Susana del Pozo, Camilo Ruiz-Mendez, Ines Barbero-Garcia, Concepcion Roman-Curto, Javier Canueto, Carlos Santos-Duran, Maria Esther Cardenoso-Alvarez, Monica Roncero-Riesco, David Hernandez-Lopez, Diego Guerrero-Sevilla, Pablo Rodriguez-Gonzalvez
Summary: Non-Melanoma skin cancer is a common type of cancer, and early detection is important for successful treatment. Hyperspectral imaging shows promise for non-invasive inspection of skin lesions, with optimal wavelength ranges between 573.45 and 779.88 nm for distinguishing healthy and unhealthy skin, and between 429.16 and 520.17 nm for differentiating cancer types.
BIOMEDICAL OPTICS EXPRESS
(2021)
Article
Environmental Sciences
Juan M. Sanchez, Llanos Simon, Jose Gonzalez-Piqueras, Francisco Montoya, Ramon Lopez-Urrea
Summary: This study conducted over three consecutive growing seasons in a drip-irrigated young almond orchard utilized a Simplified Two-Source Energy Balance (STSEB) model to quantify water use, showing the potential to predict water use in almond orchards by monitoring biophysical parameters such as crop coefficients and vegetation fractional cover.
Article
Chemistry, Multidisciplinary
Jose Luis Martinez, Manuel Esteban Lucas-Borja, Pedro Antonio Plaza-Alvarez, Pietro Denisi, Miguel Angel Moreno, David Hernandez, Javier Gonzalez-Romero, Demetrio Antonio Zema
Summary: The use of drones and satellite imagery allows for a quicker assessment of changes in vegetation cover on burned lands, yet different survey methods may yield varying results.
APPLIED SCIENCES-BASEL
(2021)
Article
Environmental Sciences
Amal Chakhar, David Hernandez-Lopez, Rocio Ballesteros, Miguel A. Moreno
Summary: The study utilized scattering models and Neural Networks to estimate surface soil moisture in a semi-arid environment, and used UAVs to acquire digital surface models and soil parameters, demonstrating the effectiveness of the method in early crop growth stages.
Article
Environmental Sciences
Joan M. Galve, Juan M. Sanchez, Vicente Garcia-Santos, Jose Gonzalez-Piqueras, Alfonso Calera, Julio Villodre
Summary: This study evaluates the performance of several algorithms for estimating land surface temperature (LST) from Landsat 8/TIRS under high-contrast semiarid agroecosystem conditions. A simplified single band atmospheric correction method was proposed and showed potential for LST estimation, while also setting the uncertainty for LST estimates in high-contrast semiarid agroecosystems.
Article
Medicine, General & Internal
Lloyd A. Courtenay, Diego Gonzalez-Aguilera, Susana Laguela, Susana Del Pozo, Camilo Ruiz, Ines Barbero-Garcia, Concepcion Roman-Curto, Javier Canueto, Carlos Santos-Duran, Maria Esther Cardenoso-Alvarez, Monica Roncero-Riesco, David Hernandez-Lopez, Diego Guerrero-Sevilla, Pablo Rodriguez-Gonzalvez
Summary: Non-melanoma skin cancer, particularly basal cell carcinoma, is a common type of cancer. Early detection is vital, and the combination of multispectral imaging and artificial intelligence offers a non-invasive method for detection and classification with high accuracy.
JOURNAL OF CLINICAL MEDICINE
(2022)
Article
Agronomy
Francisco Montoya, Juan M. Sanchez, Jose Gonzalez-Piqueras, Ramon Lopez-Urrea
Summary: A study was conducted to investigate the effect of two drip irrigation systems on almond crop growth. The results showed that the subsurface drip irrigation (SDI) system is a suitable strategy for irrigating almond crops, reducing water consumption and increasing irrigation water productivity.
Article
Construction & Building Technology
Mario Soilan, Diego Gonzalez-Aguilera, Ana Del-Campo-Sanchez, David Hernandez-Lopez, Susana Del Pozo
Summary: This study presents a method for analyzing and estimating the degradation level of road markings, as well as providing decision support for preventive and corrective maintenance. The validation on a case study road section demonstrates the method's capability of offering good qualitative visualizations and accurately detecting areas with high degradation.
AUTOMATION IN CONSTRUCTION
(2022)
Article
Environmental Sciences
Alejandro-Martin Simon Sanchez, Jose Gonzalez-Piqueras, Luis de la Ossa, Alfonso Calera
Summary: Land use classification (LUC) is the process of providing information on land cover and the types of human activity involved in land use. This study uses multispectral reflectance Sentinel-2 images to perform agricultural LUC, achieving high accuracy by arranging pixel information as 2D yearly fingerprints and utilizing CNN for modeling and capturing multispectral temporal patterns. This operational tool shows promising potential for monitoring crops and water use over large areas.
Article
Environmental Sciences
Amal Chakhar, David Hernandez-Lopez, Rim Zitouna-Chebbi, Imen Mahjoub, Rocio Ballesteros, Miguel A. Moreno
Summary: In the context of a changing climate, monitoring agricultural systems is increasingly important. This study proposes an innovative approach of remote sensing data management for crop classification, particularly in a complex landscape such as Cap Bon in Tunisia. The results highlight the importance of optical data in providing acceptable classification performance.
Article
Agronomy
J. M. Ramirez-Cuesta, D. S. Intrigliolo, I. J. Lorite, M. A. Moreno, D. Vanella, R. Ballesteros, D. Herandez-Lopez, I. Buesa
Summary: Due to climate change and the scarcity of natural resources, it is necessary to develop sustainable intensification strategies to optimize water use in vineyards. In this study, water regime, fertilization, and soil management practices were evaluated using the METRIC model and unmanned aerial vehicle imagery. The application of mulching was found to significantly reduce inter-row soil evaporation and increase crop-line evapotranspiration. Deficit irrigation and fully irrigated strategies both increased vine water use and yield, leading to improvements in water use efficiency.
AGRICULTURAL WATER MANAGEMENT
(2023)
Article
Remote Sensing
David Hernandez-Lopez, Esteban Ruiz de Ona, Miguel A. Moreno, Diego Gonzalez-Aguilera
Summary: Global interest in renewable energy resources, such as solar energy, has led to the development of new approaches for inspecting and monitoring PV plants. This paper presents a drone photogrammetry approach using RGB and IRT images to detect hot spots in PV plants. The methodology incorporates advances in photogrammetry and computer vision, resulting in an in-house software application called SunMap that provides automatic and accurate detection of hot spots and generates high-quality cartographic products.