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COMBINING SPECTRAL AND TEXTURE FEATURES USING RANDOM FOREST ALGORITHM: EXTRACTING IMPERVIOUS SURFACE AREA IN WUHAN
Impervious surface area Random forest Texture features
2016/11/23
Impervious surface area (ISA) is one of the most important indicators of urban environments. At present, based on multi-resolution remote sensing images, numerous approaches have been proposed to extr...
URBAN AREA CLASSIFICATION IN HIGH RESOLUTION SAR BASED ON TEXTURE FEATURES
Synthetic Aperture Radar High Spatial Resolution Urban Area Texture GLCM Separability
2016/3/17
Texture features in high resolution TerraSAR-X data were used for classification in this paper. In single band and single polarized SAR image, texture holds useful information for interpreting objects...
AUTOMATIC SHIP DETECTION IN SINGLE-POL SAR IMAGES USING TEXTURE FEATURES IN ARTIFICIAL NEURAL NETWORKS
Ship detection texture feature neural network sentinel SAR
2016/1/15
This paper presents a novel method for detecting ships from high-resolution synthetic aperture radar (SAR) images. This method categorizes ship targets from single-pol SAR images using texture feature...
SEGMENTATION OF POLARIMETRIC SAR IMAGES USIG WAVELET TRANSFORMATION AND TEXTURE FEATURES
Segmentation Polarimetric Synthetic Aperture Radar (PolSAR) Wavelet Speckle Multiresolution Texture Feature
2016/1/18
Polarimetric Synthetic Aperture Radar (PolSAR) sensors can collect useful observations from earth’s surfaces and phenomena for various remote sensing applications, such as land cover mapping, change a...
INTEGRATING TEXTURE FEATURES INTO A REGION-BASED MULTI-SCALE IMAGE SEGMENTATION ALGORITHM
Object Based Image Analysis Remote Sensing Multiresolution Co-Occurrence Matrix Angular Second Moment
2015/8/19
The objective of this research was the design and development of a region-based multi-scale segmentation algorithm with the integration of complex texture features, in order to provide a low level pro...