1931-3195 Subject Area. The results indicate the following: (1) the reflectance overlapping phenomenon between ground objects is usually encountered during the construction of the index using only the RGB channel features of the visible-light band. Using the temperature–vegetation dryness index (TVDI), we specified the relationships and changes underway in Vietnam’s Ba river basin, one of the largest river systems in the South Central Coast. in Shangri-La. Two supervised classification methods such as partial least-square discriminant analysis (PLS-DA) for wavelength selection/classification and random forest for validating the results from PLS-DA were implemented. The number of separated complete plants and cluster divisions is counted to get the final total amount of plants and compared with the excess green mainstream index (EXG), visible-light band difference vegetation index (VDVI), and normalized green red difference index (NGRDI). In this algorithm, the best slope was used to interrupt the time series. The 5-cm high-resolution visible-light red, green, blue (RGB) image of the Zanthoxylum bungeanum growing period is obtained based on the low-altitude aerial photography of a quad-rotor unmanned aerial vehicle (UAV) platform. Our work suggests advances in remote sensing techniques and a data-fusion approach may facilitate improved wetland mapping accuracy while reducing processing time relative to traditional approaches. Since the core tensor obtained by tucker decomposition is highly sparse, the core tensor sparsity reflects the sparsity of the whole tensor indirectly. Within the OBIA approach, MRS generated a shoreline with 20% higher accuracy compared to MSS, suggesting the importance of segmentation possessing. Finally, RM and DFM can be compensated simultaneously, and the target can be detected through the constant false alarm technique. Journal of Applied Remote Sensing's journal/conference profile on Publons, with 1092 reviews by 395 reviewers - working with reviewers, publishers, institutions, and funding agencies to turn peer review into a measurable research output. File Name: J Applied Remote Sensing.ens. Referencing books, youtube videos, websites, articles, journals, podcasts, images, videos, or music in Journal of Applied Remote Sensing. Then, a sparse reconstruction method based on FLBI is proposed to solve the sparse representation problem with large scales and achieve the ISAR fusion imaging. Remote Sensing, an international, peer-reviewed Open Access journal. This approach is tested on an xView dataset consisting of remote sensing images obtained from Worldview-3. Approximately 2 months it took for the first review and 1 month it took for the major revision. This has enabled the definition of two theoretical thickness boundaries: a minimal thickness leading to a noticeable spectral attenuation effect on the reflectance between oil and water and a maximal thickness after which the spectral reflectance no longer evolves with thickness. Focal loss is introduced into the default loss function to reduce the weight of negative samples, which were easily classified, that focus the model training process on samples that are difficult to classify. Science of Remote Sensing is part of the Remote Sensing of Environment family of journals. The aim of this study is to evaluate the hyperspectral differences (and the wavelengths at which they differ) between New Zealand seaweed species at broad taxonomic levels and also between Undaria pinnatifida and other common New Zealand seaweeds. CiteScore Ranking. The results validate the superior effectiveness and robustness of the proposed method over several existed SAR target recognition methods. Aisheng Wu, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.024502, Zhongying Liang, Yanyan Li, Jinping Niu, Lin Wang, Xiaoxuan Chen, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.026508. Undaria pinnatifida showed differences from native brown seaweed species in the visible (574 nm) and near-infrared (716 to 721, 750 nm) region of the electromagnetic spectrum. Second, areas classified in the driest TVDI intervals (dry and very dry) occupied 57% of the basin in 2019, 70% of which was agricultural lands and 20% other (mainly urban and bare lands). in 1987, 1992, 1997, 2002, 2007, 2012, and 2017 were collected. Permanent sampling plots of Pinus densata Mast. Combined with the weighted back-adding residual and condition number optimization of the sensing matrix, the FLBI algorithm can further accelerate the iterative convergence speed. However, the parameter estimation for the moving target, including the critical radial velocity, is not accurate enough, and the radial velocity is always approximated by the equivalent velocity obtained by the Deramp operation. This proposed method can integrate the echoes’ energy into peaks in a three-dimensional parameter space coherently and estimate the target’s radial range, acceleration, and jerk simultaneously by the peak detection technique. We aim to identify an efficient method of automatic shoreline monitoring based on high water level detection using very high-resolution Pleiades images and taking as the pilot zone the Mostaganem coastline (Algeria). The Terra MODIS TEB also shows stable performance—except for bands 27, 29, and 30. The measurements from bands with an 11-μm wavelength are used to identify the DCC pixels. The Landsat time series used before and after filtering were evaluated based on the quantitative analysis. Following interruptions, linear regression was employed to simulate each segment of time series. By registering two successive 3D scans, known as scan matching, it is possible to estimate the pose of a vehicle. For validation, the average prediction accuracy (p) before filtering is 61.92%, and the relative root-mean-square error (rRMSE) is 48.52%; whereas the p after filtering is increased to 70.66%, and the rRMSE is reduced to 35.38%. Show/hide abstract. The Journal of Applied Remote Sensing (JARS) is an online journal that optimizes the communication of concepts, information, and progress within the remote sensing community to improve the societal benefit for monitoring and management of natural disasters, weather forecasting, agricultural and urban land-use planning, environmental quality monitoring, ecological restoration, and numerous other commercial … The abbreviation of the journal title "Journal of applied remote sensing" is "J. Appl. Journal of Applied Remote Sensing 的ISSN是 1931-3195 。. The proposed sparsity criteria combine the sparsity of the core tensor obtained by Tucker tensor decomposition, the low rankness of the tensor, and the approximated rank. To access this item, please sign in to your personal account. In addition, through using the proposed method, the average precision of vehicle detection increased by 8.44%. In general, the RTM-based O-B analysis shows that the long-term stability of Aqua MODIS TEBs are maintained well. The experiment is performed on a dataset consisting of remote sensing images obtained from Worldview-3, and the results show that compared with the basic YOLOv3 algorithm, the average accuracy of vehicle detection is improved by 8.44%. This work aims to provide in-depth analysis and comparison of the state-of-the-art 3D scan matching approaches as a solution to the localization problem of autonomous vehicles. Wetlands for the entire state of Pennsylvania (119  ,  282  km2) were mapped using object-based image analysis (OBIA). To estimate the radial velocity more accurately, the fast Fourier transform along the spatial direction is performed on the pixel where the moving target is located in the azimuth frequency domain after the Deramp operation, and then the radial velocity can be obtained through the spatial spectrum analysis. The number of single plants completely separated was calculated by ArcGIS10.2 software, and the average area of a single plant was obtained. The monogenic signal is employed to decompose original SAR images into multi-scale components. This is the Citationsy guide to Journal of Applied Remote Sensing citations, reference lists, in-text citations, and bibliographies. REMOTE SENSING. The impact factor (IF), also denoted as Journal impact factor (JIF), of an academic journal is a measure of the yearly average number of citations to recent articles published in that journal. A time-series filtering algorithm named the best slope temporal segmentation filtering (BSTS) algorithm was developed to improve the estimation accuracy of above-ground biomass (AGB) of Pinus densata Mast. The complete, comprehensive guide shows you how easy citing any source can be. Open access papers will be published under a Creative Commons CC BY 3.0 license. On the other hand, the low-rank property characterizes redundancy in the data. This will count as one of your downloads. The editor-in-chief is Ni-Bin Chang ( University of Central Florida ). Deep convolutional neural network (DCNN)-based methods have improved many computer vision tasks and have achieved state-of-the-art results in many object detection datasets. The results show that, compared with the measured leveling data in the field in the same period, the average root mean square error is 165 mm, and the maximum subsidence monitoring accuracy reaches 98%. Journal of Applied Remote Sensing publishes original research contributions in the areas of Image Processing & Computer Vision. in Journal of Applied Remote Sensing. Considering the redundancy and possible indiscrimination in the monogenic components, the nonlinear correlation information entropy (NCIE) is adopted as the criteria for the selection of valid components. In order to improve the radar detection performance without any change of radar systems, prolonging the integration time is usually required.11 Unfortunately, for maneuvering target, during the long integration time, the range migration (RM) and Doppler frequency migration (DFM) usually appear, which will make the conventional coherent integration algorithm, i.e., moving target detection (MTD)12 suffer from performance loss, even failure. The carbon dioxide (CO2) absorption channels of Aqua MODIS, e.g., B33 to B36, are stable with a BT bias drift <0.005  K  /  year. The algorithm was used to reconstruct the annual synthetic Landsat surface reflectance images collection in Shangri-La from 1987 to 2019. Authors who do not pay for open access will be published … With the advent of multi-sensor and multi-dimensional data, we frequently encounter multi-way data or tensors with sparse and low-rank structure. Date: Thursday, May 15, 2014. Considering correlation between the scale distribution of objects and spatial resolution of remote sensing images, we propose an improved vehicle detection method based on a YOLOv3 model. In keeping with IEEE’s continued commitment to providing options to support the needs of all authors, IEEE has transformed the IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing into an Open Access Journal for the Geoscience and Remote Sensing Society (GRSS). Journal of Applied Remote Sensing. The performance of NBEI could be attributed to the fact that it is not material-specific, and would be necessary for urban area mapping. Science and application themes include the following: •Earth science •Limnology, oceanography, hydrology offers the option of open access publication for a flat fee of $960 ($660 for Letters). By splicing the time-series fragments, a new reconstructed time series would be generated. The user’s accuracy for OBIA was 82.8% compared to 78.1% for NWI. To go deeper into the understanding of oil behavior at sea, experimentation has also been done using a large tank filled with sea water, thus providing more realistic spectral signatures than in the laboratory. The Journal of Applied Remote Sensing is a peer-reviewed open access scientific journal published by SPIE. Authors who do not pay for open access will be published under the standard SPIE Transfer of Copyright agreement. Hence, we require efficient criteria to quantify the sparsity structure of multi-way data. CiteScore. We found, first, that agricultural area and deforestation rose by 7.2% and 2.4% annually, respectively. Vehicle detection is an important method for understanding high-resolution remote sensing images. For some products, these theoretical minimal and maximal thicknesses may not be realistic values for slicks at the sea surface, meaning that they will never be reached. Hyperspectral images contain an inherent multi-way structure; we perform multi-way sparsity estimation in hyperspectral image processing. Photo Interprétation European Journal of Applied Remote Sensing (PIEJARS). Pages in category "Remote sensing journals" The following 23 pages are in this category, out of 23 total. Our journal submission experts are skilled in submitting papers to various international journals. IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY. Accurate determination of built-up information is vital for urban planning and environmental management. Tung-Chang Liu, Xiaoxiong Xiong, Xi Shao, Yong Chen, Finally, a calibration correction using qDCC assessments is discussed and intended to be used in a future calibration algorithm collection. To this end, various products have been characterized in the laboratory. Hence, using these bands as references, a normalization method is employed to enhance the accuracy of the stability and consistency assessments. Therefore, to obtain better detection performance, it is necessary to compensate the RM and DFM effectively. Several simulation experiments have been implemented to validate the effectiveness of the proposed algorithm. In addition, our proposed sparsity measure also satisfies some of the desirable properties of ideal sparsity measures. The analysis in this paper also demonstrates that the comparison of well-calibrated MODIS TEB measurements with RTM simulation helps quantify the long-term impacts of global greenhouse gas concentration growth on the BT decreases in the MODIS greenhouse gas-sensitive channels. Terra MODIS band 30 shows a large downward trend throughout the mission, whereas bands 27 and 29 show slight, upward drifts. Using Google Earth Engine, we extracted land use data from Landsat images and calculated TVDI values from Moderate Resolution Imaging Spectroradiometer (MODIS) data for 2000 to 2019. Terrain variables describing slope, landscape wetness, surface elevation, climate, precipitation, and poorly drained soils were most strongly associated with occurrences of wetlands in this modeling procedure. Analyses of LULC change can indicate causal factors and their influences on the Earth. Often, the determination of the built-up area information has been dependent on field surveys, which is laborious and time-consuming. Maneuvering target detection and motion parameters estimation are important applications of radar, therefore, the study on these aspects has received wide attention in the past decades.1–10 With the development of science and technique, the target’s radar cross section becomes lower and lower, and the radar detection performance is affected. The editor-in-chief is Ni-Bin Chang (University of Central Florida). Anyone who wants to read the articles should pay by individual or institution to access the articles. They are demonstrated in long path trials in both urban and agricultural environments and compared in terms of accuracy and consistency. Using this approach, the ATIN algorithm was used to filter the overall point cloud data in the study area to obtain the digital elevation model (DEM). Hence, there is a need for alternative or complementary localization methods for autonomous driving. Then the multiple linear regression and random forests regression (RFR) were used to estimate the AGB of the Pinus densata Mast. Remote sensing data are the only option for deriving spatially explicit and timely built-up area information. The S-NPP-to-N20 VIIRS comparison shows that their TEB measurements are consistent over qDCC. The root-mean-square error (RMSE) of the reconstructed time series (RMSE  =  35.38  t  /  ha) is significantly lower than the data before reconstructed (RMSE  =  43.43  t  /  ha). There are few spectral indices for built-up areas and often not accurate as they are specific to impervious material, age, colour, and thickness, especially using higher resolution images. We observed a strong relationship between LULC change and TVDI. These changes were driven by economic development, rising crop prices, illegal logging, wildfires, and emergence of new agricultural areas. The surface dynamic subsidence basin was determined with two phases of DEM subtraction.