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This article explores two different images with different resolution to extract lineaments feature. The medium and high spatial resolution remotely-sensed images were used in this study are Landsat 7 ETM+ and ALOS PALSAR. Our additional algorithm stages in medium resolution Landsat 7 ETM+ image successfully discriminating fracture in different geological environment, the result almost similarly with...
The aim of this study is to automatically differentiate railroads from roads obtained by a general road extraction algorithm. In high resolution aerial images, the sleepers between railroad tracks depict a distinctive texture from other elongated objects. By employing this additional cue, a new Fourier based feature descriptor is developed to distinguish railroad objects in aerial images. After local...
In this paper, we propose a coarse-to-fine framework design and implementation for oil tank detection in optical satellite imagery. The framework is mainly composed of two operations: 1) from the whole scene imagery, extraction of patches with oil tanks based on the probabilistic latent semantic analysis model; 2) in the relatively small size patches, detection of the oil tanks with Hough transform...
The conversion of cropland to forest project as one of the nationwide forestry key programs was started in 1999, aiming at prevention of soil erosion, water resources conservation, combating land desertification in the key areas and mitigation of global climate change. Afforestation is the primary measure of the Project. Because of low land quality, ecological species planted and short-term growing,...
The mapping of the coastline is a well known and tested procedure exploiting the capabilities of optical satellite sensor. Nevertheless, it is affected by several inherent limits like weather condition and revisit time of the areas. The recent availability of very high-resolution X-Band SAR data acquired by a constellation of satellites with frequent revisit capabilities has brought a potential alternative,...
The clutter suppression of space-time adaptive processing (STAP) will degrade severely in forward-looking airborne radar if the range-dependence of clutter spectrum is not compensated correctly. In this paper, a new method for mitigating the range-dependence of the clutter spectrum based on the geometry-aided subspace projection is proposed. In the proposed method, the clutter covariance matrix of...
Wetland Ecosystem is one of important ecosystem in forest, ocean and wetland ecosystems. The wetland ecosystem is very important in global climate change and environmental protection. At present, remote sensing and GIS are widely applied to environmental research. In this paper, based on MODIS from 2002s to 2010s and combined with field data from 2001 to 2010, using GIS techniques and the human-machine...
Recent seismic exploration research proposes blended acquisition from simultaneous sources with temporal overlap between records to reduce survey time and improve the quality of seismic imaging. However, separating source records for traditional pre-stack processing poses significant challenges. Traditional procedures are incapable to remove interference from other sources equivalent to blended noise...
A reconstruction technique based on the two-dimensional truncated singular value decomposition (TSVD) is first presented to enhance the spatial resolution of radiometer earth observation (EO) measurements. The technique is physically based on the assumption that the antenna gain function is separable. This hypothesis allows implementing a very computer time effective TSVD-based resolution enhancement...
Knowledge can help to find a problem-solution quickly, and knowledge base is a practical tool for managing knowledge systematically. Due to highway geological disasters, cognition from remote sensing images is a complex technology; it's relevant for disaster mitigation to establish a knowledge base. But most of the frameworks of knowledge base are incomplete due to lack of experts' knowledge and insufficient...
In this paper we show our first POLINSAR results using the Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) developed by the Jet Propulsion Laboratory (JPL). UAVSAR is a L-band repeat-pass polarimetric and interferometric system designed for measuring vegetation structure and monitoring crustal deformations. In order to extract canopy height from POLINSAR data and account for temporal...
In the area of speckle filtering, proper averaging of samples with similar scattering characteristics is of great importance. However, existing filtering algorithms are either lack of similarity judgment of scattering characteristics or using only intensity information for similarity judgment. In this paper, a novel polarimetric SAR (PolSAR) speckle filtering algorithm based on mean shift theory is...
In this contribution, an accurate description of the ocean backscatter from a probability density function is proposed. The Elfouhaily spectrum has been used to generate a realistic sea surface. The scattering field will be computed by using the Physical Optics (PO). The K distribution has been already used to characterize the Radar Cross Section (RCS) of the sea surface. However, the probability...
Tropical cyclones (TCs) are one of the worst nature disasters. The analysis of tropical cyclones' similarity is important in the TCs forecasting. In this paper, the similarities of TCs are studied in a fixed low dimension space. Both TC path and image are analyzed. Isometric Mapping (ISOMAP) is used to do dimensionality reduction. Several distribution characters, such as mean value, coefficient of...
Raindrop size distribution (DSD) retrieval algorithm for a weather radar network consisting of X-band dual-polarization weather radars is proposed. This algorithm is based on a DSD retrieval method for a single-radar (SRR), which is elaborated in our paper of the SRR, “RAINDROP SIZE DISTRIBUTION (DSD) RETRIEVAL FOR X-BAND DUAL-POLARIZATION RADAR” in this conference. The SRR outputs an ML solution...
Seismic thin bed thickness approximation has been a hot topic for many years in seismic data processing. The variation of bed thickness can usually indicate some geologic structure anomalies. Generally it's difficult to distinguish and estimate the thin bed when the thickness is below the tuning thickness (resolution limit). But there is a close relationship between bed thickness and its frequency...
This paper presents an implementation of query by example in Earth Observation image archive using data compression-based approach. Data compression approach allows to exploit the compression properties of the objects and to estimate the shared information between them, this concept is extended to image retrieval for finding similar objects in the image archive. Our implementation is based on LZW...
This work is concerned with the reconstruction of unknown atmospheric distributions of species' concentrations and the simultaneous identification of unknown physical parameters. The physical and chemical processes are represented by a simplified chemical transport model. The second focus of the contribution lies on the development and the application of the adaptive techniques to the resulting inverse...
LiDAR data contains the elevation and brightness information of land surface, vegetation cover and construction. Ground filtering and interpolation method are the key for extracting the DEM accuracy based on the point clouds. This paper takes Zhangye City, Gansu Province in western mountainous areas as the study area, based on the point clouds of 0.7 points/m2, uses 5 m * 5 m grid screening method...
The ultimate accuracy and precision of conventional1 and interferometric2 Global Positioning Satellite System Rerflectometry (GNSS-R) techniques for mesoscale ocean altimetry are still a matter of debate in the scientific community. The results obtained depend on the techniques used to identify the point of the specular delay in the waveform, and to perform the different delay corrections to derive...
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