In remotesensing and other disciplines, clustering is frequently used in classification to assign labels to data. In particular, the iterative guided spectral class rejection (IGSCR) classification algorithm uses lab...
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ISBN:
(纸本)9781601321190
In remotesensing and other disciplines, clustering is frequently used in classification to assign labels to data. In particular, the iterative guided spectral class rejection (IGSCR) classification algorithm uses labeled data and a statistical hypothesis test to determine which clusters should be used in classification. Rejected clusters (based on this evaluation method) are then refined. The hypothesis test used in IGSCR is based on the binomial distribution, which effectively models hard cluster and class memberships. This work proposes an analogous hypothesis test for soft cluster evaluation.
Soil erosion is a serious environmental problem in the Upper Indravati Catchment, with an area of 2630 km2. In the present study, Universal Soil Loss equation (ULSE) has been used for estimating the spatial distributi...
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ISBN:
(纸本)9781601321190
Soil erosion is a serious environmental problem in the Upper Indravati Catchment, with an area of 2630 km2. In the present study, Universal Soil Loss equation (ULSE) has been used for estimating the spatial distribution of soil loss. Various parameters of USLE are determined with the help of Geographic Information System (GIS) and remotesensing (RS) techniques. The derived soil loss map is classified into six categories ranging from slight to very severe risk depending on the estimated amount of soil erosion. The soil erosion map is linked to elevation thematic layer to identify the areas where soil conservation practices are to be taken up in order to reduce the soil loss. From the model output predictions, it is found that the average erosion rate is 13.73 tons/ha/year, in the Upper Indravati catchment.
The habitat characteristics of Torreya were investigated based oil high resolution DEM and remotesensingimage. The distribution of Torreya was mapped by visual interpretation of IKONOS image. The landform and PCA an...
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ISBN:
(纸本)9781441902085
The habitat characteristics of Torreya were investigated based oil high resolution DEM and remotesensingimage. The distribution of Torreya was mapped by visual interpretation of IKONOS image. The landform and PCA analysis results showed that Curvature, attitude, aspect and slope were found to be the dominant features controlling spatial distribution pattern of Torreya. A certain degree Moisture related variables were proved to be the most important parameters to explain Torreya habitats preferences. The preferable habitat requirement for Torreya focused oil those concave and southwest hillsides with elevation between 400 and 600 in and slope less than 30 degrees.
FORMOSAT-2, Taiwanese satellite was launched on May 21, 2004 and operating successfully since then. It has a high spatial resolution sensor onboard for a daily revisit orbit. It is a new and appropriate satellite for ...
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ISBN:
(纸本)9781601321190
FORMOSAT-2, Taiwanese satellite was launched on May 21, 2004 and operating successfully since then. It has a high spatial resolution sensor onboard for a daily revisit orbit. It is a new and appropriate satellite for daily observation of a particular site. Our previous work established a unique model for geometric correction of FORMOSAT-2 images. This paper furthers our work by applying this model for its subsequent utilization like Disaster Investigation, Environmental Monitoring, Vegetation Evaluation, and multi-temporal image matching. In this paper, we focus on the application of geometrically corrected imagery for disaster investigation/prediction. Different FORMOSAT-2 images are processed to show the disasters occurring around the world. This work is critical for disaster early warning monitoring and prevention measures.
This work introduces an iterative soft cluster refinement method that extensively uses soft cluster evaluation to determine which clusters would discriminate between classes in a classification scheme. This iterative ...
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ISBN:
(纸本)9781601321190
This work introduces an iterative soft cluster refinement method that extensively uses soft cluster evaluation to determine which clusters would discriminate between classes in a classification scheme. This iterative refinement is part of the continuous iterative guided spectral class rejection (CIGSCR) classification method for remotely sensed images. Results indicate that CIGSCR produces good classifications of remotely sensed images, and classification accuracies are higher using the iterative refinement in CIGSCR than classifications derived from soft clustering without iterative refinement.
A classifier-based method to select and fuse grey level co-occurrence matrix (GLCM), Gaussian Markov random field (GMRF) and discrete wavelet transform (DWT) features to improve texture discrimination is presented. Fe...
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remotesensing data present peculiar features and characteristics that may make their statistical processing and analysis a difficult task. Among them, it can be mentioned the volume of data, involved, the redundancy,...
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ISBN:
(纸本)9783642026102
remotesensing data present peculiar features and characteristics that may make their statistical processing and analysis a difficult task. Among them, it can be mentioned the volume of data, involved, the redundancy, the presence of unexpected values that arise mainly due to noisy pixels and background objects whose responses to the sensor are very different from those of their neighbours. Sometimes, the volume of data and number of variables involved is so large that any statistical analysis becomes unmanageable if data are not condensed in some way. A commonly used method to deal with this situation is Principal Component Analysis (PCA) based on classical statistics: sample mean and covariance matrices. The drawback in using sample covariance or correlation matrices as measures of variability is their high sensitivity to spurious values. In this work we analyse and evaluate the use of some Robust Principal Component techniques and make a comparison of Robust and Classical PCs performances when applied to satellite data provided by the hyperspectral sensor AVIRIS (Airborne Visible/Infrared Imaging Spectrometer). We conclude that some robust approaches are the most reliable and precise when applied as a data reduction technique before performing supervised image classification.
The urban fringe which can he seen as a special form of regional ecosystems with a spatial structure gradually from Urban to rural areas of transition, has strong heterogeneity and is typical of ecologically sensitive...
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ISBN:
(纸本)9781441902085
The urban fringe which can he seen as a special form of regional ecosystems with a spatial structure gradually from Urban to rural areas of transition, has strong heterogeneity and is typical of ecologically sensitive areas. The expansion of city caused wide attention to the landscape effect of the changes. With the help of GIS, we got landscape pattern changes before and after town planning of Gaoliying town in Beijing by using high resolution image and large-scale map. The results showed that landscape shape index, contagion index and Simpson evenness index increased while landscape diversity index reduced. The pattern of reasonable land use would improve and landscape pattern come to perfect. The intensity index of human disturbance increased. Comparing three increase modes of town development, the landscape pattern change of Gaoliying town is peripheral increase mode.
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