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STUDY ON CLASSIFICATION ACCURACY INSPECTION OF LAND COVER DATA AIDED BY AUTOMATIC IMAGE CHANGE DETECTION TECHNOLOGY
National Geographic Conditions Monitoring Land Cover Data Quality Inspection Classification Accuracy Change Detection
2018/5/16
The purpose of carrying out national geographic conditions monitoring is to obtain information of surface changes caused by human social and economic activities, so that the geographic information can...
EFFECT OF PANSHARPENED IMAGE ON SOME OF PIXEL BASED AND OBJECT BASED CLASSIFICATION ACCURACY
Pan Sharpening Decision Tree Maximum Likelihood Support Vector Machine Object Based Classification Sun Flower Corn
2016/11/23
Classification is the most important method to determine type of crop contained in a region for agricultural planning. There are two types of the classification. First is pixel based and the other is ...
IMPROVING CLASSIFICATION ACCURACY VIA CONTEXTUAL FEATURE RANKING IN HIGH SPATIAL RESOLUTION SATELLITE IMAGERY
High Spatial Resolution Classification Texture Quantization Feature Ranking SVM
2015/12/31
Texture quantization is a useful method for extraction spatial relevance between pixels which is used in humane brain for image interpreting. Beside the spectral bands textural features of high spatia...
OPTIMIZED IMAGE SEGMENTATION AND ITS EFFECT ON CLASSIFICATION ACCURACY
Image segmentation Segment based classification Variance Spatial autocorrelation Moran’s Index SPRING McNemar’s test
2015/9/28
Image segmentation is a preliminary and critical step in segment-based image analysis. Its proper evaluation ensures that the best segmentation result is used in image classification. In this paper, i...
Study of mixed kernel effect on classification accuracy using density estimation
Sub-Pixel Support Vector Machine (SVM) Mixed Kernel Function
2015/8/20
Support Vector Machines (SVMs) are a statistical learning theory based techniques and have been applied to different fields. For the
pattern recognition case, SVMs have been used for isolated handwri...
Generating Image-based Features for Improving Classification Accuracy of High Resolution Images
Classification Feature Generation Texture
2015/8/20
High resolution images are rich sources of spatial information and details as well as noises. Because of the spectral similarities
between different objects, pixel-based classifications of these imag...
SEASONAL VARIATION OF LAND COVER CLASSIFICATION ACCURACY OF LANDSAT 8 IMAGES IN BURKINA FASO
Phenology Classification Random Forest
2015/5/6
In the seasonal tropics, vegetation shows large reflectance variation because of phenology, which complicates land cover change monitoring. Ideally, multi-temporal images for change monitoring shoul...
THE IMPACT OF DATA COMPRESSION AND NEIGHBORHOOD INFORMATION ON THE CLASSIFICATION ACCURACY OF ARTIFICIAL NEURAL NETWORKS
Neural Networks Thematic Classification Principal Component Analysis
2015/2/3
The artificial neural networks are nice tools in the thematic mapping. The classification procedure requires carefully prepared training set. The research was aimed to show the effect of the generally...
Balancing Lifetime and Classification Accuracy of Wireless Sensor Networks
Balancing Lifetime Classification Accuracy Wireless Sensor Networks
2012/9/18
Wireless sensor networks are composed of dis-tributed sensors that can be used for signal detection or classification. The likelihood functions of the hypotheses are often not known in advance, and de...