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This paper aims to address the problem of unsupervised scene model adaptation for transferring semantic labels from ground level images to aerial and satellite scenes. Specifically, we present a novel unsupervised domain adaptation algorithm based on subspace alignment. The core idea is to reduce the feature distribution discrepancy between ground view images and overhead view remote sensing images...
Remote sensing has been widely applied for environmental monitoring by means of change detection techniques, commonly for identifying deforestation signs which is the gateway for illegal activities such as uncontrolled urban growth and grazing pasture. Monthly acquired X-Band images from airborne Synthetic Aperture Radar (SAR) provided multi-temporal scenes employed in this work resulting in environmental...
Many previous studies attempted to extract prior reflectance anisotropy knowledge from historical Bidirectional reflectance distribution function (BRDF) product based on normalized difference vegetation index (NDVI) data. However, the correlation between reflectance anisotropy and NDVI is still controversial. This study used BRDF archetypes to represent different reflectance anisotropy, and analyzed...
Cropland productivity, characterized by crop yields, is determined by soil and meteorological conditions as well as management practices, e.g., crop types and their associated phenological cycles. As canopy spectral reflectance is governed by vegetation photosynthetic activities and is indicative of primary productivity, we investigated the potential of using time-series NDVI for mapping spatial variability...
UAV image registration is a key in the process of UAV image matching and application. Based on a large number of images, overlapping irregular and lack of ground control point, paper put forward the image registration algorithm based on overlapping area detection. Firstly the algorithm uses the improved distributed search method based on phase correlation method to search overlapping area and get...
This paper presents the latest development of NSSC's integrated GNSS remote sensing instrument. This new instrument is flexible designed for a variety of GNSS science needs based on the successful GNOS receiver, but with more functional modules. The goal of this instrument is to be put onboard of future Chinese space-borne platforms to provide precise position and timing information for high-demand...
Now-a-days with the advancement of satellite based remote sensing technologies, spatial drought monitoring and assessment has become feasible. Drought can be significantly monitored with the satellite data. Pakistan has often undergone short and long periods of drought. In this paper, 2014 drought occurrence in Mithi taluka (district Tharparkar) was analyzed during 2010–2014. 16 days composite of...
In this paper, an unsupervised change detection model based on hybrid conditional random field model (HCRF) is proposed for high spatial resolution (HSR) remote sensing imagery. Traditional random field based algorithms are mainly based on the analysis of the difference image which ignores the spatial-temporal change information of ground objects which is important in dealing with HSR imagery. Thus...
The effect of canopy structure on the remote sensing of foliar nitrogen content has been debated in recent years, due to the uncertain mechanism of estimating foliar nitrogen content through canopy reflectance in the near-infrared region. Although this effect was investigated using the radiative transfer modeling of canopy structural influence, the complicated modeling implementation is still of limited...
The scale effects in earth science, which are related to various aspects in remote sensing monitoring, have become an international prosperous research area. As spatial heterogeneity of the earth system limits the transferring between different scale, it is necessary to study these spatial heterogeneity factors, and analyze their impact on NPP scale effect. Then we can introduce an approach to perform...
Noise detection and suppression is one of the important issues in digital image processing. In this study, we develop a new algorithm for detection and suppression of the impulse noise in remote sensing images. The algorithm, called Moran's I Spatial Autocorrelation filter (MSAF), is based on the Standard Median Filter and Moran's I which is used to measure the spatial autocorrelation. Our experimental...
It is a great challenge to accurately reveal their relationship for both SAT estimation from LST and LST validation with SAT. Bivariate correlation and regression analyses were used to investigate the relationships between the LSTs retrieved from the Landsat thermal infrared (TIR) images and the synchronous hourly SATs acquired at weather stations in this study. Results show that at the significance...
The Pearl River delta is one of the most densely populated areas in China, with high urbanization and rapid economic development. The drama change of land use in recent years has been matched by rising pollution of water. With monitoring data of water quality and Landsat OLI8 images 2013, this paper analyzed the relationship between land use and water quality in the river net area of Pearl River delta...
In recent years, decision fusion techniques have been widely applied in many studies to combine information from different sensor data to achieve higher accuracy in information extraction than that could be achieved by the use of single sensor data alone. So far, most of the decision fusion techniques developed for the remote sensing applications have the drawback of assuming conditional independence...
Fireworks/firecrackers have always played an important role in traditional Chinese New Year. However, several pollutants are emitted while burning fireworks/firecrackers. Among them, fine particulate matter (PM2.5) draws extensive attention due to its negative effect on human body. Previous studies have proved fireworks/firecrackers displays can raise regional PM2.5 concentration, but studies are...
Guangzhou as the political, economic and cultural center of Southern China, the social economy has achieved rapid development and urban spatial structure changed dramatically after 30 years of reform and opening up. With the accelerated process of urbanization, environmental problems have become increasingly serious and urban heat island effect in many environmental problems are particularly prominent,...
Urban lands of Chinese cities tend to expand in an unreasonable way, which has been a critical problem for China due to its insufficient land resources. As the important carrier loading active social economic activities and dense population, municipalities and provincial capitals are in an important strategic position in the China. In this study, 4 municipalities and 27 provincial capitals are selected...
We consider practical aspects of lossy compression with application to multispectral images provided by Landsat sensor. Two facts are taken into account: 1) the inherent noise presence and its properties; 2) rather high degree of component correlation. These properties in different degree are used in 2D and 3D lossy compression. Comparison of the suggested approaches has been carried out for some...
The paper focuses on the application of the Cross-Correlation Analysis (CCA) technique for quantifying changes of semi-natural grasslands to artificial structures at different spatial resolutions (grain) on a Mediterranean Natura 2000 site as a further test case of the results reported in [1]. In that work the CCA was applied to detect specific changes associated with agricultural intensification...
This study evaluated heavy rainfall estimates from four satellite algorithms with a relatively dense rain gauge network over Mishui basin from 2003 to 2010. The results show that all the remote-sensing products underestimate heavy rainfall as compared to the rain gauge measurements. For satellite products, CMORPH has the best spatial correlation (0.36) but largely underestimates the total rainfall...
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