Remote sensing application (Total 102419 Papers Found)

Brazil is a large and diverse country and almost all remote sensing application fields can be developed there: oceanographic, agricultural, environmental, urban, etc. Some applications are instrumental for environmental governance, some are very useful for business and others are devoted to research. As part of its remote sensing development, Brazil counts on the CBERS (China-Brazil Earth Resources Satellite) Program. Applications and accomplishments of the CBERS Program are presented in this ar ...
Being one of the important factors responsible for image quality, the band to band registration error (BBR error) of high resolution imagery affects considerably the application precision of remote sensing. The author analyzed the influence of BBR error on remote sensing application in such aspects as vision effects, supervised classification based on pixel, object-oriented imagery interpretation. An experimental study was carried on suburban of Tangshan. The results showed that when the error r ...
This paper presents a methodology for image classification of both spatial and spectral data with the use of hybrid evolving fuzzy neural networks (EFuNNS). EFuNNs are five layer sparsely co n-nected networks. EFuNNs contain dynamic structures that evolve by growing and pruning of neu-rons and connections. EFuNNS merge three supervised classification methods: connectionism, fuzzy logic, and case-based reasoning. By merging these strategies, this new structure is capable of learning and generalis ...
A theoretical model that describes the power of a scattered Global Positioning System (GPS) signal as a function of geometrical and environmental parameters has been developed. This model is based on a bistatic radar equation derived using the geometric optics limit of the Kirchhoff approximation. The waveform (i.e., the time-delayed power obtained in the delay-mapping technique) depends on a wave-slope probability density function, which in turn depends on wind. Waveforms obtained for aircraft ...
The inverse electromagnetic scattering problem has been researched for years for its academic significations and widely applications in medical imaging, industrial diagnostics, remote sensing, application geophysics, etc. Recently, one of the research interests in this field is on how to inverse without the phase information of the measured field data, because such information is hard to be measured or easy to be corrupted by noise when the measure system is working on a high frequency rang. Ind ...
As the quality and accuracy of remote sensing instruments available improves, the ability to quickly process remotely sensed data is in increasing demand. A side effect of this increased quality and accuracy is a tremendous increase in the amount of computational power required by modern remote sensing applications. In this work, a problem solving environment for parallel computing named the Component-based Environment for Remote Sensing (CERSe) is described. CERSe is targeted at producing appli ...
Coastal water quality conditions have great influences on the ecological environment of tropical coastal regions. Conventional in-situ measuring approach is time consuming and laborious. The growing remote sensing data and techniques have become more widely used in estimating water quality parameters based on the reflection and absorption characteristics. The reflected spectral signals from the water body are easy to be disturbed or confused due to the uncertainty of cloud cover before they are ...
  • Prasan Pankaew,
  • 2015 International Conference on Science and Technology (TICST)
  • 2015
This paper presents a method to estimate the directional reflection of cloud using data from a geostationary satellite, the Meteosat Second Generation (visible band, 0.45-1.0 μm). Directional reflection of the surfaces and atmospheric components is a key factor for the accuracy of the remote sensing application. The directional reflection was defined as a bidirectional reflectance distribution function (BRDF). The estimated directional reflection of cloud has high relationship with the La ...
Crop identification is a critical first step for most agricultural monitoring systems. The ability to identify crop type makes it possible to estimate the area allocated to each crop type and thus compute relevant statistics providing essential information for crop control of area-based subsidies and furnishes direct inputs to crop production forecasting models. In recent years, with the development of remote sensing technology, the application of microwave remote sensing in agriculture is becom ...
This paper describes a low cost architecture of multi sensor remote sensing balloon payload design for prototyping student’s micro-satellite payload project. Commercial off the Shelf (COTS) components are being used to implement the payload instrumentation. COTS components provide high processing performance, low power consumption, high reliability, low cost and are easily available. The main architecture of the system consists of commercially available Smartphone, FPGA (fieldprogrammable gate ...
Land degradation in Inner Mongolia, China is much severe. Remote sensing application on land degradation assessment can provide scientific basis for land degradation prevention in the study area. In this paper, land degradation was assessed by applying two improved relative Rain Use Efficiency (RUE) indicators based on time series MODIS NDVI data and high-resolution meteorological data from 2001 to 2010. The results show that 76.74% land of the whole study area with good or unusually good condit ...
Vegetation water content (VWC) plays an important role in parameterizing the vegetation influence on microwave soil moisture retrieval. During the past decade, relationships have been developed between VWC and vegetation indices from satellite optical sensors, in order to create large-scale VWC maps based on these relationships. Among existing vegetation indices, the normalized difference vegetation index (NDVI) and the normalized difference water index (NDWI) have been most frequently used for ...
— in remote sensing; there are many applications that simultaneously require the high spatial and high spectral resolution from multisensory images. Image fusion is required to combining relevant information from two or more images into a single image which is more informative than any of the input images. In this paper, we propose an image fusion approach based on Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT) & Stationary Wavelet Transform (SWT) and the hardware implementa ...
With the development of virtualization, a significant technology used in cloud computing, a new kind of remote sensing data processing platform based on virtualization has been formulating. In order to find out how virtual machines will influence the performance of remote sensing data processing platforms, KVM, VMware and Xen are tested as the instances of virtual machines by the drought model algorithm as a test application on remote sensing platforms. Besides, the test application is carefully ...
Photosynthetically active radiation (PAR) can be calculated by radiation transfer model. With the progress of remote sensing application, more and more input parameters could be inversed by remote sensing data. Then using these inversion parameters, the PAR could be estimated. The normal method estimation PAR by remote sensing data is using instantaneous value at the time of polar orbital satellite passing to accumulate the daily amount of PAR. However, daily cloud cover changes very obviously. ...
The principle of Support Vector Machine based on spot is to choose an appropriate scale to split the image into a series of segmentation, according to certain strategy using spectral information. And this principle ensures the spectral features of the majority of patch pixel similar. This method gathers statistics of each pixel value in the spot and obtains the mean value of each band to replace the original value of all pixels in the spot. The purpose of this classification is that the pixel ha ...
In recent years, there are ample research and development on Unmanned Aerial Vehicle (UAV) for various applications. The significance of small and low operating cost, UAV extensively being used in agriculture mapping. The UAV is suitable for the small survey area compared to the traditional remote sensing application for both spatial and temporal resolution. This research focuses on the uses of low altitude images for tree height 3D reconstruction. Pix4Dmapper software was utilized for canopy he ...
The scale issue is the most important item in the remote sensing application. The scale affects the information contents of the remote sensing imagery. Usually, the scale is determined by the sensor resolution. In this paper, a series satellite remotely sensed images with different resolutions are adapted to study the scale characteristics of remote sensing. The results show that the natural shoreline is a representative fractal object, and its length is dependent on the scale or the remote sens ...
In this paper C-band (/spl sim/5.6 GHz), polarimetric (dual polarization), narrow pulse (/spl sim/30 ns) Doppler scatterometer is described. The scatterometer was developed for a short distance (/spl sim/6.5 m) remote sensing application and for simultaneous and coincident measurements of water surface microwave reflective and backscattered signal's spectrum characteristics. In spite of the system was developed for a platform application, it may have successful vessel and airborne application fo ...
Image reconstruction using tomography is based on inverse filtering a series of projections, collected at angular positions surrounding an object or scene, where the form of the projection is derived from the measurement geometry (monostatic/bistatic, point/plane transducer/sensor) as well as the probing phenomenology. Quality image reconstruction requires that sensors are positioned to adequately sample target/scene Fourier space. In a remote sensing application this is done by sequentially pos ...
Nonlinear decomposition schemes constitute an alternative to classical approaches for facing the problem of data fusion. In this paper, we discuss the application of this methodology to a popular remote sensing application called pansharpening, which consists in the fusion of a low resolution multispectral image and a high-resolution panchromatic image. We design a complete pansharpening scheme based on the use of morphological half gradient operators and demonstrate the suitability of this algo ...
Grove Mountains is located to the southwest of Princess Elizabeth Land, Antarctic inland areas, 400km away from the Chinese Zhongshan Station. This paper will discuss the application of the SAR, optical and altimetry data in Grove Mountains. Firstly, the improved DEM is generated. It is still difficult to get the accurate DEM of the whole Grove Mountains which is about 8000 kilometers square because the sloping terrain and the baseline error exist. Based on the InSAR DEM and ICESat footprints, t ...
The quality of depth measurements used in either sonar or radar applications determines the confidence on the mapping accuracy. Several methods can be considered to determine this depth measurement, ranging from amplitude-based detection, interferometry, to complex signal-based detection, such as so-called high-resolution methods. This paper is devoted to the analysis of interferometry accuracy according to the nature of the recorded signal. Indeed, the level of fluctuation of the received signa ...
The alternative technique of acquiring shoreline data using satellite images or from aerial photos has renowned as a fast and less time consuming process as compared to the conventional method of land surveying technique at the sea shore, especially when covering large and rugged area. This paper discussing the process of extracting shoreline data from high resolution satellite image using various image classification method. The aim of the study is to utilize remote sensing application in deter ...
A field platform dedicated to fluorescence measurements (INRA, Avignon, France) was used to monitor the fluorescence emission of a sorghum field during its growing period. The measurements were performed continuously at the canopy level, from seeding to maturity. A passive instrument based on three spectrometers was used to monitor the evolution of fluorescence fluxes and vegetation indexes such as Photochemical Reflectance Index (PRI) and Normalized Difference Vegetation Index (NDVI). Fluoresce ...
With the availability and development of multisensor, multitemporal, multiresolution, and multifrequency image data from operational Earth observation satellites, more limitations have also appeared in remote sensing image applications, and the most important one is the cost limit. To overcome the limitations, unmanned aerial vehicle (UAV) technology is developped for remote sensing application. It forms a rapidly developing area of research in remote sensing. This review paper describes and exp ...
Multispectral images are used for space Arial application, target detection and remote sensing application. MS images are very rich in spectral resolution but at a cost of spatial resolution. We propose a new method to increase a spatial resolution MS images. For spatial resolution enhancement of MS images we need to employ a superresolution technique which uses a Principal Component Analysis (PCA) based approach by learning an edge details from database. Experiments have been carried out on bot ...
This work investigates the leverage that can be obtained from compiler optimization techniques for efficient execution of multi-query workloads in data analysis applications. Our approach is to address multi-query optimization at the algorithmic level, by transforming a declarative specification of scientific data analysis queries into a high-level imperative program that can be made more efficient by applying compiler optimization techniques. These techniques – including loop fusion, common s ...
Farmland irrigation and drainage system is one of the key hydraulic engineering facilities on farmland, large-scale, fast and accurate auto-extraction method for farmland irrigation and drainage system is a significant direction for remote sensing application. This paper proposes an intelligent extraction method for farmland irrigation and drainage system based on domestic high resolution satellite GF-2 images, which has considered both spectral features and geometry features of farmland irrigat ...
Complementary information from multi-sensor can be integrated to effectively solve many problems in remote sensing application. Synthetic Aperture Radar (SAR) imaging can be a feasible alternative to traditional optical remote sensing techniques because it is independent of solar illumination and weather conditions. This paper proposes a novel fusion framework combining IHS transform with sparse representation theory to fuse multispectral and SAR images. In addition, the simultaneous orthogonal ...
Atmospheric remote sensing with the O2 A-band has a relatively long history, but most of these studies were attempting to estimate surface pressure or cloud-top pressure. Recent conceptual studies have demonstrated the potential of spaceborne high spectral resolution O2 A-band spectrometers for retrieval of aerosol and cloud optical properties. The physical rationale of this new approach is that information on the scattering properties of the atmosphere is embedded in the detailed line structure ...
Image simulation has been growing important for prelaunch sensor design and data processing afterwards. Middle infrared regions have many applications in remote sensing but its image simulation has few studies, not mention its absorption regions. Considering its prospect for remote sensing application, the analysis of surface radiance composition is done in this paper to lay a foundation for surface image simulation of absorption regions in mid-infrared wavelengths. The comparison between reflec ...
For many remote sensing application projects, the quality of the research or the product is heavily dependent upon the quantity of computing cycles available. Middleware is software that connects two or more otherwise separate applications across the Internet or local area networks. In this paper, we present the High Throughput Computing Spatial Information Processing (HIT-SIP) System (Prototype), which is developed in Institute of Remote Sensing Applications, Chinese Academy of Sciences, China. ...
[1] Used for regression fitting, neural network (NN) models can be used effectively to represent highly nonlinear, multivariate functions. In this situation, most emphasis has been on estimating the output errors, but almost no attention has been given to errors associated with the internal structure of the NN model. The complex relationships linking the inputs to the outputs inside the network are the essence of the model and assessing their physical meaning makes all the difference between a ...
  • Tong Zhang, Jing Li,
  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • 2015
In recent years, general-purpose graphics processing units (GP-GPUs) have steadily risen in popularity for remote sensing data processing. Interest has been growing in using hybrid GPU/CPU architectures to realize the full potential of computing devices. This paper studies LiDAR data preprocessing, which is a typical data-intensive remote sensing application. It is proposed to develop an online task scheduler for hybrid GPU/CPU systems using reinforcement learning. At the core of the task schedu ...
Microwave remote sensing data comprehension for typical targets forms the basis of microwave remote sensing applications. Ideas and approaches of microwave scattering database construction for typical targets (such as soil, crop, forest, water, urban area, etc.) from demand analysis, system design, database design and analysis of key issues are introduced in detail. This database can store and manage field measured scattering data, scattering mechanism model, microwave remote sensing application ...
With the rapid development of remote sensing technology, remote sensing data and processing methods are both growing exponentially. But current remote sensing information services and the knowledge sharing have the obvious deficiencies of the remote sensing application service capabilities. The current services can not fully meet the requirements of remote sensing users for remote sensing information service sharing. In this paper, using ontology and workflow service technology, we carried on th ...
  • Sharath Jagannathan,
  • 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES)
  • 2016
The assets of remote senses digital world daily generate massive volume of real-time data (mainly referred to the term “Big Data”), where insight information has a potential significance if collected and aggregated effectively. In today's era, there is a great deal added to real-time remote sensing Big Data than it seems at first, and extracting the useful information in an efficient manner leads a system toward a major computational challenges, such as to analyse, aggregate, and s ...
We present a textural kernel for "support vector machines" classification applied to remote sensing problems. SVMs constitute a method of supervised classification well adapted to deal with data of high dimension, such as images. We introduce kernel functions in order to favor the distinction between our class of interest and the other classes: it gives information of similarity. In our case this similarity is based on radiometric and textural characteristics. One of the main difficulties is to ...
Tropical forests host at least two-thirds of the world’s flora and fauna diversity and store 25% of the terrestrial above and belowground carbon. However, biodiversity decline due to deforestation and forest degradation of tropical forest is increasing at an alarming rate. Biodiversity dynamics due to natural and anthropogenic disturbances are mainly monitored using established field survey approaches. However, such approaches appear to fall short at addressing complex disturbance factors and ...
The assets of remote senses digital world daily generate massive volume of real-time data (mainly referred to the term “Big Data”), where insight information has a potential significance if collected and aggregated effectively. In today's era, there is a great deal added to real-time remote sensing Big Data than it seems at first, and extracting the useful information in an efficient manner leads a system toward a major computational challenges, such as to analyze, aggregate, and s ...
  • Sadhana Jain,
  • Int. J. Applied Earth Observation and Geoinformation
  • 2008
This paper presents a study for linking remotely sensed data with property tax related issues. First, it discusses the key attributes required for property taxation and evaluates the capabilities of remote sensing technology to measure these attributes accurately at parcel level. Next, it presents a detailed case study of six representative wards of different characteristics in Dehradun, India, that illustrates how measurements of several of these attributes supported by field survey can be comb ...
Sensor networks are prone to congestion due to bursty and high-bandwidth data traffic, combined with many-to-one data routing to a sink. Delayed and dropped packets then degrade the performance of the sensing application. In this work, we investigate the value of separate handling of sensor control and data traffic, during times of congestion, in a networked sense-and-response system. We analyze a meteorological remote sensing application, running over a network of X-band radars. Our application ...
Remote sensing information extraction is the key step of remote sensing application, and water body is one of its main targets. Thus, the automatic and high-precise extraction of water information from remotely sensed images is of great significance and urgently required in research fields of water resources investigation, natural disaster evaluation, even global ecological environment evolution, etc. Due to the various influencing factors of water, such as suspension, chemistry component, imagi ...
Spatial resolution is the main specification of satellite imagery quality, including the thermal infrared imagery. Many technical restrictions opposed to realize the high spatial resolution imagers of thermal infrared band. The software-based method for imagery spatial resolution enhancement is presented. The method used two sub-pixel shifted images that contain time-invariant thermal emissivity data. Enhanced spatial resolution infrared imagery provides better informativity for remote sensing a ...