Discipline: Geoscience. Hence, we require efficient criteria to quantify the sparsity structure of multi-way data. This approach is tested on an xView dataset consisting of remote sensing images obtained from Worldview-3. CiteScore. The subset of monogenic components with the highest NCIE is chosen and classified by joint sparse representation (JSR). The color space of the R-, G-, and B-channels is converted into the H-, S-, L-, and V-components, and the sensitivity of seven feature vectors to target features is analyzed. The sparsity attribute mentions that the data contain very few non-zero elements. Sparsity and low rankness are essential properties of real-world data. To this end, various products have been characterized in the laboratory. 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. In recent years, exteroceptive sensors have gained much attention due to significant improvements in accuracy and cost-effectiveness, especially for 3D range sensors. Using the inner correlations of the selected components, JSR could improve the overall reconstruction precision thus enhancing the recognition performance. Citation Style: Non-superscripted Number. The Journal of Remote Sensing, an Open Access journal published in association with AIR-CAS, promotes the theory, science, and technology of remote sensing, as well as interdisciplinary research within earth and information science. offers the option of open access publication for a flat fee of $960 ($660 for Letters). This proposed method can strike a good balance between the computational complexity and detection performance. The RF based on MRS was the method that produced the shoreline at the best accuracy, where 55.5% of the extracted shoreline was within 1 pixel of the in situ shoreline. 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. From this experiment, the thickness of a small amount of oil freely spread on a plane water surface has been assessed and compared with the boundaries established using the laboratory measurements. 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. The radiative transfer modeling (RTM)-based simulation models are developed to perform the long-term monitoring of the stability of Aqua MODIS TEBs. The results validate the superior effectiveness and robustness of the proposed method over several existed SAR target recognition methods. in Journal of Applied Remote Sensing. On the other hand, the low-rank property characterizes redundancy in the data. It is shown that Aqua MODIS surface bands are all radiometrically stable with yearly BT bias drifts <0.005  K  /  year for B20, B22, and B23 and ∼0.01  K  /  year for B31 and B32. A method for GMTI and the corresponding parameter estimation using Deramp-STAP is proposed. Finally, the estimated radial velocity is applied to construct the azimuth compression function for the moving target imaging, and then the initial azimuth position can be estimated. Aims & Scope of the Journal. 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%. 2.60 View Trend. Thereafter, identification and quantification require extended optical and physical knowledge regarding oil properties. Article Processing Charges Open Access Policy Institutional Open Access Program Editorial Process Awards Research and Publication Ethics. Journal of Applied Remote Sensing J APPL REMOTE SENS ISSN. 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. The deep convective clouds (DCC) core, one of the coldest Earth scenes, is suitable for MODIS calibration assessments, more specifically, for the evaluation of the offset term’s effect in its TEB quadratic calibration function. It covers all aspects of remote sensing and was established in 2007. The two-dimensional (2D) resolution is poor due to the narrow transmitting bandwidth and the limited observation angle in monostatic ISAR imaging. This database has been successfully used to identify a product detected on an airborne hyperspectral image and to assess the corresponding oil slick volume, in the case of the NOFO2015 emulsion. These changes were driven by economic development, rising crop prices, illegal logging, wildfires, and emergence of new agricultural areas. Mehul R. Pandya, Abha Chhabra, Vishal N. Pathak, Himanshu Trivedi, Prakash Chauhan, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.032204, Shuaiyang Zhang, Wenshen Hua, Gang Li, Jie Liu, Qianghui Wang, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.032205, Yousef Rezaei, Maryam Dehghani, Samira Akhavan, Mahmod Reza Sahebi, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.032005, Yue Pan, Dechang Pi, Junfu Chen, Yang Chen, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.032203, Guang Y. Chen, Wenfang Xie, Adam Krzyzak, Shen-En Qian, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.032202, Meng Zhu, Zhongfa Zhou, Denghong Huang, Ruiwen Peng, Yang Zhang, Yongliu Li, Wenhui Zhang, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.026501. 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%. 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. Photo Interprétation European Journal of Applied Remote Sensing (PIEJARS). An accuracy assessment found that the OBIA correctly classified 81.5% of validation locations compared to only 59.3% for National Wetlands Inventory (NWI), although commission rates were higher for OBIA (15.6%) versus NWI (3.4%). 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. The surface dynamic subsidence basin was determined with two phases of DEM subtraction. 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. Hence, there is a need for alternative or complementary localization methods for autonomous driving. The long-term stability of thermal emissive bands (TEBs) of Aqua MODIS was monitored through inter-comparisons with measurements by hyperspectral or multi-spectral infrared sensors or through vicarious monitoring over cold targets such as Dome-C and deep convective clouds. 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. We demonstrate the efficacy of our proposed sparsity quantification measure in applications such as hyperspectral image denoising, hyperspectral unmixing tasks as demonstrated in the real image experiments. The 11-μm bands, MODIS band 31, and VIIRS bands M15 and I5 are stable throughout the MODIS and VIIRS missions and have shown excellent calibration accuracy and noise performance. We focus on the range migration (RM) and Doppler frequency migration (DFM) corrections in the long-time coherent integration, and a fast detection method based on two-dimensional First, the sparsity of the ISAR imaging echo data is exploited to establish the multiradar fusion ISAR imaging model based on sparse representation, which can be converted into a one-dimensional sparse vector reconstruction problem. 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%. Category Rank; Earth and Planetary Sciences - … 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). 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). 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 … To access this item, please sign in to your personal account. 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. They are demonstrated in long path trials in both urban and agricultural environments and compared in terms of accuracy and consistency. 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. For Authors For Reviewers For Editors For Librarians For Publishers For Societies. The editor-in-chief is Ni-Bin Chang (University of Central Florida). The S-NPP VIIRS TEB show stable trends over the instrument’s mission. Often, the determination of the built-up area information has been dependent on field surveys, which is laborious and time-consuming. Then the multiple linear regression and random forests regression (RFR) were used to estimate the AGB of the Pinus densata Mast. in 1987, 1992, 1997, 2002, 2007, 2012, and 2017 were collected. 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. The study demonstrated that the new built-up index could extract built-up areas using high-resolution images. The results show that the use of the SAE-1DCNN method is more effective in terms of hyperspectral classification accuracy and more efficient in computational complexity and that it can be an alternative for hyperspectral data classification. Remote Sensing, an international, peer-reviewed Open Access journal. A synthetic aperture radar (SAR) target recognition method is proposed using monogenic components as basic features. Satellite imagery data are commonly used to detect and classify LULC change and determine spatial and temporal variations therein.1,2 Data from Landsat, Sentinel, and Moderate Resolution Imaging Spectroradiometer (MODIS)3,4 cover large areas and are freely available.5 These can be used with many algorithms to investigate LULC change. Publisher: SPIE. Each submission service is completed within 4 - 5 working days. Since the core tensor obtained by tucker decomposition is highly sparse, the core tensor sparsity reflects the sparsity of the whole tensor indirectly. Authors who do not pay for open access will be published under the standard SPIE Transfer of Copyright agreement. 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. Open access papers will be published under a Creative Commons CC BY 3.0 license. Sparsity plays a crucial aspect in hyperspectral image processing tasks such as unmixing and denoising. The editor-in-chief is Ni-Bin Chang ( University of Central Florida ). Object detection of remote sensing images has been radically changed by the introduction of DCNN. 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 … Our journal submission experts are skilled in submitting papers to various international journals. Maxent derived models accurately predicted validation wetlands: Area under curve of 0.91 for woody wetlands and 0.93 for emergent wetlands. However, a limited BB temperature range affects the calibration’s accuracy, particularly for cold scenes. Wetlands for the entire state of Pennsylvania (119  ,  282  km2) were mapped using object-based image analysis (OBIA). Moreover, 90% of areas classified as “very wet” and “wet” were forest. Referencing books, youtube videos, websites, articles, journals, podcasts, images, videos, or music in Journal of Applied Remote Sensing. By splicing the time-series fragments, a new reconstructed time series would be generated. ASD Handheld2 VNIR spectroradiometer with a spectral range of 325 to 1075 nm was used to collect hyperspectral data of the common New Zealand native and invasive seaweed species. Finally, RM and DFM can be compensated simultaneously, and the target can be detected through the constant false alarm technique. Eight techniques (deterministic and probabilistic) are investigated: iterative closest point (with three different embodiments), normal distribution transform, coherent point drift, Gaussian mixture model, support vector-parametrized Gaussian mixture and the particle filter implementation. 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. Soumia Bengoufa, Simona Niculescu, Mustapha Kamel Mihoubi, Rabah Belkessa, Ali Rami, Walid Rabehi, Katia Abbad, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.026509, Thi Mai Thy Pham, The-Duoc Nguyen, Han Thi Ngoc Tham, Thi Nhat Kieu Truong, Nguyen Lam-Dao, Thong Nguyen-Huy, Journal of Applied Remote Sensing, Volume 15; doi:10.1117/1.jrs.15.024503, Land use and land cover (LULC) change describes modifications of the Earth’s terrestrial surface caused by human activities. Journal of Applied Remote Sensing 的ISSN是 1931-3195 。. 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). File Name: J Applied Remote Sensing.ens. Experiments are proceeded on the moving and stationary target acquisition and recognition dataset under the standard operating condition and several extended operating conditions, including configuration variances, depression angle variances, noise corruption, and partial occlusion. 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. The S-NPP-to-N20 VIIRS comparison shows that their TEB measurements are consistent over qDCC. Journal of Applied Remote Sensing (JARS ) [English ... of Photo-optical Instrumentation Engineers [Society Publisher] Publisher Policy. This qDCC method is applied to the Terra MODIS and VIIRS TEB, and their stabilities are assessed using long-term qDCC trending measurements over the instruments’ missions. Motivated by this, the color space index (CSI) is built by three sensitive component features, which are segmented by the maximum class variance method (OTSU), filtered by majority filtering analysis, and processed by clump to obtain spots containing only the plants. Create a new folder below. This combination explores the potential of both, autoencoders (AE) and convolutional nets, providing an alternative for the classification of hyperspectral data. We found, first, that agricultural area and deforestation rose by 7.2% and 2.4% annually, respectively. Remote sensing data are the only option for deriving spatially explicit and timely built-up area information. ENVIRONMENTAL SCIENCES. However, they do give a thickness range in which thickness assessment could be performed with optical imagery and modeling. Open access papers will be published under a Creative Commons CC BY 3.0 license. Coal mining subsidence monitoring in mountainous area based on time-series UAV photogrammetry technology is proposed. The Terra MODIS TEB also shows stable performance—except for bands 27, 29, and 30. Authors who do not pay for open access will be published … The Journal of Applied Remote Sensing is a peer-reviewed open access scientific journal published by SPIE. We represent a first attempt to specify the relationship between LULC change and dryness in a region of Vietnam that is profoundly affected by climate change. A technique that utilizes quasi-deep convective clouds (qDCC) for the calibration assessment of the thermal emissive bands (TEB) on remote sensing instruments has been proven viable. Open Access pathways permitted by this journal's policy are listed below by article version. On the other hand, the nuclear norm and Stein’s unbiased risk estimate quantifies the low rankness of the tensor. Long-term European Centre for Medium-Range Weather Forecasts global atmospheric reanalysis data are used as inputs to the RTM simulation. Journal of Applied Remote Sensing is indeed a quarterly journal, but the review speed is not as slow as it is said. 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). 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. About this 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. Some of the influential wavelengths were consistent with pigment absorption peaks unique to red and brown seaweeds. Globally, the unprecedented increase in population in many cities has led to rapid changes in urban landscape, which requires timely assessments and monitoring. 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. The result showed that NBEI improves the extraction of built-up areas with high accuracy [area under the receiver operating characteristic curve,   (  AUROC  )    =    ∼  0.82] compared to the existing indices such as built-up area index (AUROC  =    ∼  0.73), built-up spectral index (AUROC  =    ∼  0.78), red edge/green index (AUROC  =    ∼  0.71) and WorldView-Built-up Index (WV-BI) (AUROC  =    ∼  0.67).

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