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Classification of Land Use Land Cover (LULC) data from satellite images is extremely remarkable to design the thematic maps for analysis of natural resources like Forest, Agriculture, Water bodies, urban areas etc. The process of Satellite Image Classification involves grouping the pixel values into significant categories and estimating areas by counting each category pixels. Manual classification...
With the advent of numerous remote sensing sensors available for the researcher, the fusion of digital image data has become a imperative tool for classifying remote sensing image and evaluation too. Remote sensing image fusion not only improves the spatial resolution of the original multispectral image, but also improves the spectral quality of merged product. Quantitative and qualitative digital...
Texture analysis plays a vital role in remotely sensed image classification as every pixel is going to be classified based on the collective pixel values of neighborhood. The result thus obtained gives increased classification accuracy. In this paper, a modified texture model obtained by modifying Multivariate Local Binary Pattern (MLBP) texture model is used for classification in remotely sensed...
This paper introduces the Nonsubsampled Contourlet Transform (NSCT) into infrared and visible remote sensing image fusion and proposes a novel multi-scale analysis method based on region energy. With better direction selectivity and energy convergence compared to that of wavelet, NSCT is suitable for representing detailed information of remote sensing images. In addition, region energy method is better...
A parallel interior orientation method based on lookup table is proposed to deal with lens distortion and interior orientation issues of UAV (Unmanned Aerial Vehicle) images. Firstly, a distortion correction and interior orientation algorithm is proposed for UAV low altitude remote sensing images. Secondly, a mapping lookup table algorithm based on distortion correction model for interior orientation...
Land surface temperature (LST) is one of the most important variables associated with the main land surface processes. Previous researches demonstrated the atmospheric heterogeneity at regional scale and advocated that it is vital to get atmospheric parameters properly to retrieve LST precisely by using satellite remote sensing, especially for sensors provided with one thermal infrared channel (e...
Four periods' remote sensing images of Huoshan County were used to retrieval and calculate the NDVI of study region based on the RS and GIS technologies. The vegetation coverage of Huoshan was drawn by dimidiate pixel model. The vegetation coverage of four periods images were analyzed using the method of overlay assisted by the spatial analysis. Then the spatial-time changes characters of vegetation...
The issue of temporal and spatial variation in soil salinity is considered as a fundamental element in salinity monitoring. The aim of this study is to develop a framework which integrates image mining techniques with Fuzzy logic methodology to improve the evaluation of spatio-temporal variation of soil salinity in areas with lack of available ground observation. Intensity and duration of salinity...
A new segmentation method is proposed for high resolution remote sensing image. In the high-resolution remote sensing image, there is mass of data to be processed, and land objects exhibits strongly hierarchical and multiscale characters. In order to overcome the disadvantages of pixel-based hierarchical MRF model directly used on high-resolution remote sensed images, a hierarchically multiscale object-oriented...
Contourlet, one of multiscale analysis tool with great property of multi-directionality, locality and sparse approximation, is an excellent 2-dimentional image description approach. Contourlet can be employed as a remote sensing image fusion approach to improve spatial resolution and application through precise capture of edge information from panchromatic image and injection of that into multispectral...
Speckle filtering of polarimetric synthetic aperture radar (POLSAR) is more complicated than a single polarization SAR, because it needs preserve the characteristics of amplitude of each polarization channel and of the relative phase differences among the channels. Fortunately, J.S.Lee et al. have published a scattering-model-based speckle filter (SMBF) in 2006, that filter has good performance for...
In order to improve and enforce environmental monitoring ability, especially in fields of large scale monitoring and dynamic monitoring, the Environmental Satellite will be launched in 2008 in China. Before the Satellite is launched, necessary pre-research work has to be done. Considering future ecological monitoring demand, we have paid more attention to land use/land cover classification method...
Target recognition is of great importance for information extraction from high resolution remote sensing image. As an important kind of man-made objects, ship recognition is a key point to many applications, such as vessel monitoring and marine traffic. As spatial relationship is invariant to topology change, a method of ship recognition from high resolution remote sensing imagery aided by spatial...
The Chinese Loess Plateau has experienced drastic human-induced land cover change in the last century. The Chinese government has planned a long-term project to restore the ecology and thus the environment. This effort requires the information of the ecological potential. This study presented a complete procedure for spatially modeling the potential vegetation index in arid Loess Plateau region. Spatially...
The vegetation coverage was generated by processing the Landsat TM/ ETM+ images of 1989, 1995 and 2001 using remote sensing and geographical information systems technology and estimating NDVI of Songhuajiang river. To analyze the changes of vegetation coverage over time, the vegetation coverage was overlaid at the watershed scale with the support of spatial analysis of ArcGIS 9.2. The results showed...
Facing to the more and more serious eutrophication and frequent outbreak of blue-green algae event in inland lake, the early warning of them has become urgent affairs. To monitor them in large scale rapidly and improve the extraction accuracy by remote sensing technology, MODIS data is a kind of ideal data source for its free getting, high spectrum resolution and temporal resolution. In this paper,...
This paper presents an alterative bi-dimensional empirical mode decomposition based on the assisted images constructed in advance according to needed bandwidth. Firstly, the given assisted image and its negative counterpart are added to the original image respectively to construct the two images to be decomposed. Secondly, the decomposed IMFs from the two images are added together to get the IMFs,...
Vegetation classification is the basis for various hydrological and ecological studies. Some vegetation classifications using NDVI data have been studied commonly, however, there are some limitations in classification of vegetation using the average NDVI value, especially, the study with spectrum characteristics of the NDVI is relatively rare. Based on this, this paper introduces a new vegetation...
Launched in 2008, THEOS has successfully received data. China has signed an agreement about receiving, processing, archiving, and distributing THEOS data with GISTDA. The data of THEOS will soon be applied to and play an important role in resources surveying, environment monitoring, disaster assessing, mapping, and digital city. However, the study about pansharpening methods of THEOS images is still...
In this paper, we propose a region-based MRF model with optimized initial regions (RMRF-OIR) for image segmentation. In the RMRF-OIR, a modified mean shift is introduced to get the optimized initial over segmented regions. Then, a region-based MRF is used to model these initial regions on the region adjacency graph. Finally, the segmentation results will be obtained by using a region merging scheme...
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