Ideally, one objective of image fusion in remotesensing is to obtain high-resolution multispectral images with simultaneously the spectral characteristic of multispectral images and an enhanced spatial resolution. To...
详细信息
ISBN:
(纸本)9780819469519
Ideally, one objective of image fusion in remotesensing is to obtain high-resolution multispectral images with simultaneously the spectral characteristic of multispectral images and an enhanced spatial resolution. To date, numerous image fusion techniques have been developed. However, many methods may introduce spectral distortion, appearing as a change in colors between compositions of resampled and fused multispectral bands. To tackle this problem, some methods have taken the radiometric characteristics of sensors into account. This paper is an attempt to fuse high-resolution panchromatic and low-resolution mutlitspectral bands of the EO-1 ALI sensor. Starting from the analysis of spectral difference between ALI and other sensors, the authors present two methods which take into account the physical spectrum response of sensors during the fusion process: one is an improved fast intensity-hue-saturation (IHS) method with spectral adjustment according to sensor spectral response, and the other directly introduces sensor spectral response into the general component substitution image fusion method. An experiment based on ALI images has been carried out to demonstrate the effectiveness of the proposed approach. The fused images processed through the proposed methods have almost the same spatial resolution as panchromatic images and keep good spectral characteristics.
作者：
Xu, KaiQin, KunLi, DerenWuhan Univ
Sch Remote Sensing Informat Engn Wuhan 430079 Peoples R China Wuhan Univ
State Key Lab Informat Engn Surveying Wuhan 430079 Peoples R China
Currently, cloud model has been successfully used in data mining, digital watermark and other fields. This paper proposes a new method of cloud synthesis which is the key technology of cloud model. Based on the new me...
详细信息
ISBN:
(纸本)9780819469502
Currently, cloud model has been successfully used in data mining, digital watermark and other fields. This paper proposes a new method of cloud synthesis which is the key technology of cloud model. Based on the new method, a novel image segmentation algorithm is proposed. Experiments show that the new method of cloud synthesis is more effective and appropriate for image segmentation, and the novel image segmentation algorithm is more effective and robust than the traditional image segmentation algorithms.
作者：
Sun, KaiminSui, HaigangYan ChenWuhan Univ
Sch Remote Sensing Informat Engn 129 Luoyu Rd Wuhan 430079 Peoples R China Wuhan Univ
Natl Lab Informat Engn Surveying Mapping & Remote Wuhan 430079 Peoples R China
image registration plays a critically important role in many practical problems in diverse fields. A new object-oriented image matching algorithm is presented based on the convexity model (CM) and full-scale image seg...
详细信息
ISBN:
(纸本)9780819469502
image registration plays a critically important role in many practical problems in diverse fields. A new object-oriented image matching algorithm is presented based on the convexity model (CM) and full-scale image segmentation. The core idea of this matching algorithm is to use image objects as matching unit rather than points or lines. This algorithm firstly converts images into image objects trees by full-scale segmentation and convexity model restriction. Because image objects which accord with the convexity model have rich and reliable statistical information and stable shapes, more characteristics can be used in object-based image matching than pixel-based image matching. Initial experiments show that matching algorithm proposed in this paper is not sensitive to rotation and resolution distortion, which can accomplish the image matching and registration automatically.
To overcome the main drawbacks of global minimal for active contour models (L. D. Cohen and Ron Kimmel) that the contour is only extracted partially for low SNR images, we present a new boundary extraction method, cal...
详细信息
ISBN:
(纸本)9780819469502
To overcome the main drawbacks of global minimal for active contour models (L. D. Cohen and Ron Kimmel) that the contour is only extracted partially for low SNR images, we present a new boundary extraction method, called maximal probability method of boundary extraction. We extend the description of boundary extraction from the point of view of classic mechanics to quantum mechanics, and propose a new boundary extraction approach based on maximal probability of a moving particle from one point to another. Our method is based on finding a path of maximal probability. The method includes four sequential parts: Explain boundary extraction from quantum mechanics;Estimate the probability that a particle moves from a point to another;Find a path of maximal probability between two points;Extract closed boundary from a single point by dividing the image into two small images. We show examples of our method applied to real images to compare our method with global minimal for active contour models. The experiments demonstrate that our method can overcome the main drawbacks of global minimal for active contour models.
In global classifications using Markov Random Field (MRF) modeling, the neighborhood form is generally considered as independent of its location in the image. Such an approach may lead to classification errors for pix...
详细信息
ISBN:
(纸本)9783540770459
In global classifications using Markov Random Field (MRF) modeling, the neighborhood form is generally considered as independent of its location in the image. Such an approach may lead to classification errors for pixels located at the segment borders. The solution proposed here consists in relaxing the assumption of fixed-form neighborhood. Here we propose to use the Ant Colony Optimization (ACO) and to exploit its ability of self-organization. Modeling upon the behavior of social insects for computing strategies, the ACO ants collect information through the image, from one pixel to the others. The choice of the path is a function of the pixel label, favoring paths within a same image segment. We show that this corresponds to an automatic adaptation of the neighborhood to the segment form. Performance of this new approach is illustrated on a simulated image and on actual remotesensingimages SPOT4/HRV.
The Himalayan region comprises extensive snow cover areas having various degrees of glaciations that act as a huge fresh water reservoir. Mapping the extent of these snow covered areas and deciphering the characterist...
详细信息
ISBN:
(纸本)9780819469519
The Himalayan region comprises extensive snow cover areas having various degrees of glaciations that act as a huge fresh water reservoir. Mapping the extent of these snow covered areas and deciphering the characteristics of these snow pack help in the estimation of snow melt runoff. This study involves the mapping of snow cover area around Gangotri glacier using remotesensing data analysis. The data products include IRS LISS-III, IRS P6 AWiFS and TERRA MODIS. The methodology involves conversion of digital numbers (DN) into actual reflectance values. Snow index derived on the basis of reflectance value will be more accurate because different objects having the same DN value may likely to correspond to different reflectance and therefore the use of reflectance improves the identification of objects. The final Snow cover area (SCA) maps are prepared based on the Normalised Difference Snow Index (NDSI) values. The Snow cover maps were classified into two classes: Snow cover and Non-snow cover. The threshold value greater than 0.4 is used in distinguishing snow from soil, rock and cloud. In this investigation it has been found out that from the remotesensing data products used, LISS-III and AWiFS sensors are far superior compared to MODIS and MERIS. Hence the snow cover maps for different months of 2003 and 2004 were produced using only LISS-III and AWiFS data products. The analysis of these maps indicates that the snowfall in 2002-03 season was higher than in 2003-04. The melting of snow started as early as March in 2004, thus resulting in depletion of snow cover extent. These observations could be corroborated with the field weather data collected by Automatic Weather Station (AWS).
Considering the deficiency of mapping model in traditional image registration, a new image registration method based on evolutionary modeling is proposed in this paper. Multi Expression Programming has been used as mo...
详细信息
ISBN:
(纸本)9780819469502
Considering the deficiency of mapping model in traditional image registration, a new image registration method based on evolutionary modeling is proposed in this paper. Multi Expression Programming has been used as modeling tool to build mapping model. To avoid over fitting and improve actual effective, constraints of the mapping function's slope and curvature were added during modeling process. SAR image and optical image rectifying experiment is given in the last. The experiment result indicated that the evolutionary model has high precision for image registration. This method is fit for image registration.
Kernel-based Orthogonal Subspace Projection (KOSP) provides good results in the field of classification of hyperspectral images.(1) However, an open-problem is the evaluation from the ground-truth samples of the proto...
详细信息
ISBN:
(纸本)9780819469069
Kernel-based Orthogonal Subspace Projection (KOSP) provides good results in the field of classification of hyperspectral images.(1) However, an open-problem is the evaluation from the ground-truth samples of the prototypes that best represent the classes. In the original formulation of KOSP,(1) this preliminary (training) stage is very simple since for each class the prototype is computed as the centroid of the ground-truth samples. In order to improve KOSP performances, in this paper we introduce a minimization problem to evaluate the best prototypes from a given ground truth of a specific classification problem. K-fold cross-validation is used to avoid overfitting. The performance of the proposed methodology is tested by classifying the widely used 'Indian Pine' hyperspectral dataset collected by the AVIRIS spectrometer.
The proceedings contain 320 papers. The topics discussed include: monitoring of paddy rice planting with complex cropping pattern using satellite remotesensing data - a case of West Java, Indonesia;change in leaf ana...
ISBN:
(纸本)9781615673650
The proceedings contain 320 papers. The topics discussed include: monitoring of paddy rice planting with complex cropping pattern using satellite remotesensing data - a case of West Java, Indonesia;change in leaf anatomy, total chlorophyll content, and canopy reflectance of field grown rice as a function of nitrogen status;assessment crop yield estimation methods by using satellite images and ground observation;mapping of urban above-ground biomass with high resolution remotesensing data;GIS, remotesensing and imageprocessing techniques involved in land use and land cover classification of Hydrabad city;near real time active fire monitoring system for Southeast Asia using MODIS imagery;development of multi remotesensing satellites mission planning system;landslide susceptibility mapping using GIS;e-flood map: flood damage assessment in Thailand;multi-sources data integration for mine geohazards monitoring;and RS/GIS for flood risk management in Sukhothai province.
The proceedings contain 320 papers. The topics discussed include: monitoring of paddy rice planting with complex cropping pattern using satellite remotesensing data - a case of West Java, Indonesia;change in leaf ana...
ISBN:
(纸本)9781615673650
The proceedings contain 320 papers. The topics discussed include: monitoring of paddy rice planting with complex cropping pattern using satellite remotesensing data - a case of West Java, Indonesia;change in leaf anatomy, total chlorophyll content, and canopy reflectance of field grown rice as a function of nitrogen status;assessment crop yield estimation methods by using satellite images and ground observation;mapping of urban above-ground biomass with high resolution remotesensing data;GIS, remotesensing and imageprocessing techniques involved in land use and land cover classification of Hydrabad city;near real time active fire monitoring system for Southeast Asia using MODIS imagery;development of multi remotesensing satellites mission planning system;landslide susceptibility mapping using GIS;e-flood map: flood damage assessment in Thailand;multi-sources data integration for mine geohazards monitoring;and RS/GIS for flood risk management in Sukhothai province.
暂无评论