remote sensing image data
Distributed Storage of Remote Sensing Data Based on Hadoop Platform in Virtual Environment
... the data format of the LandSat-8 satellite remote sensing image data ,we knew that the metadata file and quality assessment document are the properties file, which can be abstracted as ...
11
High order balanced M band multiwavelet packet transform based remote sensing image denoising
... The balanced order ρ of a multiwavelet system corre- sponds to its ability to represent images sparsely [17, 18]. Recent studies show that the 2-band MWTs based on bal- anced (ρ = 1) multiwavelets (i.e., balanced 2-band ...
14
Hadoop Mapreduce for Remote Sensing Image Analysis
... MapReduce is a parallel programming model for processing large amounts of metadata on cluster computers with unreliable and weak communication links. MapReduce is based on the scale-out principle, which involves ...
9
REVIEW OF REMOTE SENSING IMAGE SEGMENTATION TECHNIQUES
... given data set into certain quantity of clusters (assume k clusters) fixed a ...given data set and associate it to the nearest ...same data set points and the nearest new ...n data points from ...
8
Major lineament mapping of structural controlled mineralization of Baryte and Asbestos mines around Pulivendla and Lingala mandals of YSR District, AP, India.
... basic data set used to capture information on geological structures are the geological ...using Remote sensing technique tools of the proposed study ...LISS-III data to assign orientation of ...
8
Unmanned Aerial Vehicle Remote Sensing Monitoring And Image Acquisition System
... of remote sensing data is an important component of UAV aerial remote sensing ...The remote sensing data receiving and processing and processing requires the ...
5
Kernel Principal Component Analysis for the Classification of Hyperspectral Remote Sensing Data over Urban Areas
... of remote sensing data: the use of spatial ...hyperspectral data from urban areas provide both detailed spatial and spectral ...such data needs to include both types of ...panchromatic ...
14
Vol 2, No 9 (2011)
... The image segmentation is an effort to classify similar colors of image in the same ...an image. Segmentation refers to the process of partitioning a digital image into multiple ...an ...
6
Hyperspectral Image Classification for Remote Sensing
... in remote sensing HSI classification is the lack of enough reliable ground truth ...be data augmentation where virtual samples are generated from the ground truth ...
142
Enhancement of the Satellite Images using ACO and DNN Approach
... X-band data are utilized in this study to monitor the occurrence of an invasive weed ...applying remote sensing technique on monitoring remediation of temporary land use (tLU) in road construction ...
9
Change detection in rice area using remote sensing data
... statistical data is very vital for spatial planning, management and utilization of ...Rapideye image of 2011 was obtained from Local distributor in order to control classification accuracy of low resolution ...
5
Automated Remote Sensing Image Interpretation with Limited Labeled Training Data
... The automated interpretation of SAR sea ice imagery has been studied for over a decade [29,73,80,84,136,169]. However, there is no known algorithm that generates labeled maps that can be used operationally for this ...
134
A Content-Based Remote Sensing Image Change Information Retrieval Model
... of remote sensing images and the enormous data volume produce big challenges for the effective retrieval of information from remote sensing image ...satellite remote ...
17
Image Registration Model For Remote Sensing Images
... the image is to find out the homographic relation between the two images which is termed as ...proper image registration with best possible ...one image with the other matched feature points of the ...
6
Image fusion methods based on a linear mixing model of multispectral remote sensing data
... Model based analysis of most existing pan-sharpening methods showed that they are based mainly on the two models or assumptions: spectral consistency for high resolution multispectral data and spatial consistency ...
11
Using the Arau Model to Locate Groundwater Potential Zones in the Northern Regions of Malaysia
... Remote Sensing is a technique of obtaining information about objects through the analysis of data collected by instruments not in physical contact with the objects of ...engineering. Remote ...
7
Research on Remote Sensing Image Fusion Based on Compressive Sensing Algorithm
... PMS data in Changshu city, Jiangsu province as the experimental ...the remote sensing ...and image cropping, the panchromatic image and multispectral image are shown in ...
8
Change Detection in Remote Sensing Images Using Elitist Genetic Algorithm
... The second data set [14] contains optical images. The images of size 200 × 200 pixels are acquired on August 5, 1986 [see Fig. 3(a)], and August 5, 1992 [see Fig. 3(b)], by the Landsat Multispectral Scanner (MSS) ...
5
Design of Controller Board and DC-DC Interface for Remote Sensing Satellites
... band Data Handling System (BDH) of Remote sensing satellites acquires image data from high resolution payloads formats and transmits to ground through RF interface or stores in Solid ...
5
A Review of Machine Learning for Hyperspectral Image Applications
... Hyperspectral Image processing is an important area which derives its roots from remote ...sensing. Remote sensing is defined as means of gathering information such that no physical ...
6