IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Papers 3922
1 page of 393 pages (3,922 results)
#1Lifeng Shi (NU: Nanjing University)H-Index: 1
#2Xianjin Huang (NU: Nanjing University)H-Index: 1
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Plastic greenhouses are an important hallmark of agricultural progress. To meet the growing demand for vegetable and food, the amount of plastic greenhouses has increased significantly over the past few decades. Remote sensing is considered as a promising data source for taking inventory and Monitoring plastic greenhouses for managing modern agriculture. However, a systematic catalog of number and spatial distribution of plastic greenhouses is mostly inexistent. This is primarily due to the comp...
3 CitationsSource
#1Fengpeng Li (China University of Geosciences)
#2Ruyi Feng (China University of Geosciences)H-Index: 9
Last. Lizhe Wang (China University of Geosciences)H-Index: 41
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High-spatial-resolution remote sensing (HRRS) image scene classification, which categorizes HRRS images into an independent set of semantic-level land use and land cover classes based on image contents, has attracted much attention, and many methods have been proposed due to its wide application in earth observation tasks. In fact, categories of HRRS images depend on regions containing class-specific ground objects, while most of the existing methods for HRRS image scene classification only focu...
#1Satoshi Ebihara (OECU: Osaka Electro-Communication University)H-Index: 24
#2Shyuhei KotaniH-Index: 1
Last. Ryota UchimuraH-Index: 2
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We consider the effects of oblique incidence of a wave on the creation of a 3-D image of a planar interface with an array-type directional borehole radar. In this study, we focus on the situation where the radar probe is close to the planar interface. In such circumstances, the reflected wave from the planar interface may be incident on the receiving array antenna at very steep elevation angles. As a result, borehole effects cause differences in the arrival times of the wave at the array element...
#1Shaohui Mei (NPU: Northwestern Polytechnical University)H-Index: 14
#2Ge Zhang (NPU: Northwestern Polytechnical University)
Last. Qian Du (MSU: Mississippi State University)H-Index: 50
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Hyperspectral unmixing, which intends to decompose mixed pixels into a collection of endmembers weighted by their corresponding fraction abundances, has been widely utilized for remote sensing image exploitation. Recent studies have revealed that spatial context of pixels is important complemental information for hyperspectral image processing. However, many well-known endmember finding (EF) algorithms identify spectrally pure spectra from hyperspectral images according to spectral information o...
#1Xuejun Wang (BNU: Beijing Normal University)
#2Xihan Mu (BNU: Beijing Normal University)H-Index: 13
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As a primary nighttime light (NTL) data source, the day/night band (DNB) sensor of the visible infrared imaging radiometer suite (VIIRS) is used in a wide range of studies. However, this signal is influenced by the atmosphere and may cause uncertainty while monitoring ground NTL. Given the lack of the quantitative analysis of the atmospheric effect on NTL, this study analyzes the relationship between VIIRS DNB NTL radiance and aerosol optical depth (AOD) in the urban areas of Beijing and three o...
#1Guo Zhang (WHU: Wuhan University)H-Index: 13
Last. Miaozhong Xu (WHU: Wuhan University)
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Air quality degradations caused by fine particulate matter (PM 2.5 ) can lead to various health problems, and accurate PM 2.5 data are critical for managing the environment and ensuring public health. Radiation signals collected by nighttime light (NTL) remote sensing satellites are influenced by PM 2.5 concentrations, and thus, incorporating NTL imagery in statistical models has been widely used to predict PM 2.5 concentrations. However, scarce work has been carried out with new-generation NTL ...
#1Sabrina Podda (University of Cagliari)
#2Maria Teresa Melis (University of Cagliari)H-Index: 6
Last. Marco Scaioni (Polytechnic University of Milan)H-Index: 24
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On the surface of the Moon a large number of linear features are recognizable. Long and narrow depressions are defined as lunar rilles. Their morphology has different characteristics, related to their origin. Among these, the sinuous rilles represent lineaments considered remnants of shallow lava channels. In this article, a quadrant of the Moon has been analyzed to recognize and map this type of morphology. An accurate morphometric analysis has been accomplished, using the lunar reconnaissance ...
#1Tan Guo (CQUPT: Chongqing University of Posts and Telecommunications)H-Index: 3
#2Fulin Luo (WHU: Wuhan University)H-Index: 7
Last. Xiaocheng Zhou (FZU: Fuzhou University)H-Index: 2
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Existing sparsity-based hyperspectral image (HSI) target detection methods have two key problems. 1) The background dictionary is locally constructed by the pixels between the inner and outer windows, surrounding and enclosing the central test pixel. The dual-window strategy is intricate and might result in impure background dictionary deteriorating the detection performance. 2) For an unbalanced binary classification problem, the target dictionary atoms are generally inadequate compared with th...
#1Peng Xiao (CAST: China Academy of Space Technology)H-Index: 1
#2Wei Guo (PolyU: Hong Kong Polytechnic University)H-Index: 1
Last. Bo Liu
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ConGalSAR is a novel SAR constellation that has an outstanding performance of revisit and economy. In the system, with the MirrorSAR technology, one geostationary illuminator and several economical low earth orbit transponders work together to achieve a short revisiting interval. Because of the huge difference in the distances of transmitting and receiving, the spatial weighting of the antenna patterns on the ground is quite different, which leads to the deterioration of ambiguity to signal rati...
#1Alexander Fafard (RIT: Rochester Institute of Technology)H-Index: 2
#2Jan van Aardt (RIT: Rochester Institute of Technology)H-Index: 16
Last. David Page (ORNL: Oak Ridge National Laboratory)H-Index: 1
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Understanding and exploiting topographical data via standard machine learning techniques is challenging, mainly due to the large dynamic range of values present in elevation data and the lack of direct relationships between anthropogenic phenomena and topography, when considering topographic–geology couplings, for instance. Here we consider the first hurdle, dynamic range, in an effort to apply Convolutional Neural Network (CNN) approaches for prediction of human activity. CNN for learning 3-D e...
Top fields of study
Hyperspectral imaging
Computer vision
Remote sensing
Synthetic aperture radar