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Arbitrary Scale Super Resolution Network for satellite imagery

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China Communications 2022年第8期19卷 234-246页

作者： Jing Fang Jing Xiao Xu Wang Dan Chen Ruimin Hu National Engineering Research Center for Multimedia Software School of Computer ScienceWuhan UniversityWuhan 430072China Collaborative Innovation Center of Geospatial Technology Wuhan 430079China National University of Defense Technology Wuhan 430015China

Recently,satellite imagery has been widely applied in many ***,due to the limitations of hardware equipment and transmission bandwidth,the images received on the ground have low resolution and weak *** addition,since ground terminals have various resolutions and real-time playing requirements,it is essential to achieve arbitrary scale super-resolution(SR)of satellite *** this paper,we propose an arbitrary scale SR network for satellite image ***,we propose an arbitrary upscale module for satellite imagery that can map low-resolution satellite image features to arbitrary scale enlarged SR ***,we design an edge reinforcement module to enhance the highfrequency details in satellite images through a twobranch ***,extensive upsample experiments on WHU-RS19 and NWPU-RESISC45 datasets and subsequent image segmentation experiments both show the superiority of our method over the counterparts.

关键词： satellite imagery super resolution arbitrary upscale edge reinforcement video satellite

Identification of climatic and environmental factors associated with incidence of cutaneous leishmaniasis in Central Iran using satellite imagery

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Asian Pacific Journal of Tropical Biomedicine 2021年第1期11卷 40-46页

作者： Mohammad Javanbakht Abedin Saghafipour Keyvan Ezimand Amir Hamta Leyli Zanjirani Farahani Nazanin Soltani Department of Remote Sensing and GIS Faculty of GeographyTehran UniversityTehranIran Department of Public Health Faculty of HealthQom University of Medical SciencesQomIran Department of Remote Sensing and GIS Faculty of Earth ScienceShahid Beheshti UniversityTehranIran Department of Social Medicine Faculty of Medical SciencesQom University of medical sciencesQomIran Department of Medical Parasitology and Mycology School of Public HealthTehran University of Medical SciencesTehranIran Student Research Committee Qom University of Medical SciencesQomIran

Objective:To determine the effect of climatic and environmental factors on the incidence of cutaneous leishmaniasis in Qom province in ***:In this cross-sectional study,the data on cutaneous leishmaniasis incidence were collected from the Disease Control and Prevention Center in Qom *** and environmental data including Normalized Difference Vegetation Index(NDVI),Land Surface Temperature(LST),and soil moisture were extracted using satellite *** of altitude and sunny hours were provided based on shuttle radar topography mission digital elevation model and hemispherical viewshed algorithm,*** associations of climatic and environmental variables with the incidence of the disease were analyzed by Pearson correlation *** Arc GIS 10.3 software was used to determine the geographical distribution of these ***:There were positive correlations between cutaneous leishmaniasis incidence and the two climatic factors:LST and sunny hours per day(P=0.041,P=0.016),and it had weak negative correlations with the digital elevation model(P=0.27),soil moisture(P=0.54),and NDVI(P=0.62).The time delay analysis showed that in one-,two-,and three month periods,the correlations increased with a 95%confidence ***,the correlation with the three-month time delay was positive and relatively strong between the cutaneous leishmaniasis incidence and LST and sunny hours(P=0.027,P=0.02);nevertheless,there were negative correlations between the cutaneous leishmaniasis incidence and the soil moisture(P=0.27)and NDVI(P=0.62).Conclusions:As Qom is located in one of the semi-arid climate zones,topography and solar energy are important factors affecting the incidence of cutaneous leishmaniasis in ***,appropriate disease control programs are recommended.

关键词： Environmental factors Incidence satellite imagery Cutaneous leishmaniasis Iran

On RPC Model of satellite imagery

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Geo-Spatial Information Science 2006年第4期9卷 285-292页

作者： ZHANG Guo YUAN Xiuxiao State Key Laboratory for Information Engineering in Surveying Mapping and Remote Sensing Wuhan University 129 Luoyu Road Wuhan 430079 China 不详

The RPC model has recently raised considerable interest in the photogrammetry and remote sensing community. The RPC is a generalized sensor model that is capable of achieving high approximation accuracy. Unfortunately, the computation of the parameters of RPC model is subject to the initial of the parameter in all available literature. An algorithm for computation of parameters of RPC model without initial value is presented and tested on SPOT-5, CBERS-2, ERSq imageries. RPC model is suitable for both push-broom and SAR imagery.

关键词： RPC model rigorous sensor mode satellite imagery

Pinpointing Source of Mekong and Measuring Its Length Through Analysis of satellite imagery and Field Investigations

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Geo-Spatial Information Science 2007年第1期10卷 51-56页

作者： LIU Shaochuang LU Pingli LIU Donghui JIN Peidong Institute of Remote Sensing Applications Chinese Academy of Sciences 3 Datun Road Chaoyang District Beijing 100101 China.

For centuries, explorers and scientists from different countries had made their own conclusions on the source of the Mekong. However, the geographic source of the Mekong is still arguable because of the complexity of the Mekong source water system, inaccessible environment and the varied technologies used by those explorers and scientists. The satellite remote sensing technology has been used to pinpoint the source of the Mekong, associated with the on-the-spot investigations made by the authors in June 1999 and September 2002. The actual length of the Mekong has also been calculated.

关键词： source of Mekong satellite imagery field investigation

Spatio-Temporal Analysis of Landuse/Landcover Change of District Pishin Using satellite imagery and GIS

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Journal of Geographic Information System 2016年第3期8卷 361-368页

作者： Sanaullah Khan Said Qasim Romana Ambreen Zia-Ul-Haq Syed Department of Geography University of Balochistan Quetta Pakistan

Detecting change on the face of the globe using GIS (Geographic Information System) aided by remotely sensed imagery is now becoming an indispensable tool in managing the resources of our planet. The present study with the help of GIS and remote sensing (RS) is also a similar attempt in recording and quantifying change in land use and land cover in district Pishin both in spatial and temporal extents. satellite imagery was acquired from the USGS official website from three LANDSAT satellites. Theses satellites are LANDSAT 5, LANDSAT7 and LANDSAT 8. The data were acquired for the years 1992, 2003 and 2013. satellite imagery was processed in ArcMap 10.1 and maximum likelihood supervised image classification was applied in reaching the goal of detecting change. The result of the analysis revealed that built-up area was increased by 5.84%;vegetation was increased by 3.89%;water bodies were increased by 0.05% and bare surfaces were decreased by 9.78%. The decrease in the barren surfaces was attributed to the increase in vegetation and built-up area which replaced the barren land in the study area. This paper also shows the significance and potential of digital change detection methods in managing the resources of our environment and keeping an eye on the land use and land cover of our Earth.

关键词： Spatial-Temporal Land-Cover Change District Pishin GIS satellite imagery

Change Detection of Lake Chad Water Surface Area Using Remote Sensing and satellite imagery

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Journal of Geographic Information System 2021年第5期13卷 561-577页

作者： Abdel-Aziz Adam Mahamat Adeeba Al-Hurban Nehaya Saied Integrated International for Environmental Services (IIES) Kuwait City Kuwait Earth and Environmental Sciences Department Faculty of Science Kuwait University Kuwait City Kuwait

The Lake Chad located in the west-central Africa in the Sahel region at the edge of the Sahara experienced severe drought during 1970s and 1980s and overexploitation (unintegrated and unsustainable use), which is a result of variant land uses and water management practices during the last 50 years. This resulted in a decline of the water level in the Lake and surrounding rivers. The present study analyzed satellite images of Lake Chad from Landsat-MSS, Landsat-OLI to investigate the change of the open water surface area during the years of 1973, 1987, 2001, 2013, and 2017. Supervised classifications were performed for the land cover analysis. The open water area in 1973 was covering 16,157.34 km2 approximately, and that was 64.6% of the total lake area in the 1960s. As an ultimate result of the extreme drought that the study area witnessed through 1970s-1980s, the open water area has decreased to 1831.44 km2, i.e. around 11.33%, compared to that in 1973. The dilemma that the study area is suffering from is believed to be a catastrophic complication of the aforementioned drought crisis, which arose as an ultimate result the climate change, global warming, and the unintegrated and unsustainable use of water challenges the study area is still encountering.

关键词： satellite imagery Landsat Remote Sensing GIS Drought Overexploitation

An improved approach for the production of satellite-based geospatialreference imagery

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International Journal of Digital Earth 2008年第2期1卷 221-239页

作者： J.R.Gibson S.Nedelcu Canada Centre for Remote Sensing 588 Booth Street OttawaOntarioCanada

An innovative and practical satellite image product is described that is ideal for applications in Northern Canada because of its wide area coverage and mappingquality *** product is generated from a new procedure developed at the Canada Centre for Remote Sensing(CCRS)for processing Landsat 7 imagery,and by extension,imagery from other Earth Observation *** working with multiple satellite passes,each containing the equivalent of multiple scenes,the new procedure could dramatically reduce the turn-around time for generating georeferenced image products,and also increase their geometric and radiometric accuracy compared to those produced by the current *** objective of the process has been to generate satellite image mosaics covering large areas(e.g.>500000 km^(2))with uniformly distributed errors at sub-pixel *** paper discusses the theoretical basis of a photogrammetric adjustment for satellite imagery and the results obtained from several *** process is generic,involving a sensor model,a satellite orbit model and ground control information;thus it may be easily adapted to any satellite that allows for repeat coverage with overlapping *** performing an adjustment to correct the satellite position and attitude data prior to the production of orthoimage products,it is possible to create a mosaic with a single resampling process which minimises both the radiometric and geometric resampling *** results from three separate tests are presented,along with a discussion of the procedures that were followed in each *** three tests have successfully demonstrated that sub-pixel sample size errors may be consistently obtained over large areas.A by-product process developed to support the measurement of ground control point coordinates for the satellite adjustment was the automatic matching of geographic features such as lakes and islands in vector data *** has been a significant development in that it has e

关键词： satellite imagery photogrammetric geometric accuracy radiometric accuracy large area mosaics automatic registration

Absolute pose estimation of UAV based on large-scale satellite image

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Chinese Journal of Aeronautics 2024年第6期37卷 219-231页

作者： Hanyu WANG Qiang SHEN Zilong DENG Xinyi CAO Xiaokang Wang School of Mechatronical Engineering Beijing Institute of TechnologyBeijing 100081China Beijing Institute of Technology Chongqing Innovation Center Chongqing 401120China

Obtaining absolute pose based on pre-loaded satellite images is one of the important means of autonomous navigation for small Unmanned Aerial Vehicles(UAVs)in Global Navigation satellite System(GNSS)denied *** of the previous works have tended to build Convolutional Neural Networks(CNNs)to extract features and then directly regress the pose,which will fail when solving the challenges caused by the huge viewpoint and size differences between“UAV-satellite”image pairs in real-world ***,this paper proposes a probability distribution/regression integrated deep model with the attention-guided triple fusion mechanism,which estimates discrete distributions in pose space and three-dimensional vectors in translation *** order to overcome the shortage of the relevant dataset,this paper simulates image datasets captured by UAVs with forward-facing cameras during target searching and autonomous *** effectiveness,superiority,and robustness of the proposed method are verified by simulated datasets and flight tests.

关键词： satellite imagery Unmanned Aerial Vehicle(UAV) Deep neural networks Vision navigation von Mises-Fisher distribution

satellite retrieval of inherent optical properties in the turbid waters of the Yellow Sea and the East China Sea

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Chinese Optics Letters 2010年第8期8卷 721-725页

作者：崔廷伟张杰唐军武马毅青松 First Institute of Oceanography State Oceanic Administration National satellite Ocean Application Service State Oceanic Administration

In situ-satellite match-ups of radiometric data are established in the turbid waters of the Yellow Sea and the East China Sea. Inherent optical properties （IOPs） are retrieved by match-up radiometric data and multi-band quasi-analytical algorithm （QAA）. By comparing in situ spectra-retrieved IOPs with the satellite ones of moderate resolution imaging spectroradiometer （MODIS） and medium resolution imaging spectrometer （MERIS）, the accuracy of satellite-derived IOPs is quantified. The median of the absolute percentage difference is found to be approximately 20% for the total absorption coefficient at（λ） at green and blue-green bands, and 30% for particulate material backscattering coefficient bbpλ throughout the visible bands. The spatial pattern and temporal variability of IOPs along the eastern coast of China are clarified based on satellite images and the QAA model.

关键词： Backscattering Coastal zones Radiometers Radiometry satellite imagery Spectrometers