A Class-Oriented Strategy for Features Extraction from Multidate ASTER Imagery
نویسندگان
چکیده
منابع مشابه
A Class-Oriented Strategy for Features Extraction from Multidate ASTER Imagery
In this paper we propose a hybrid classification method, adopting the best features extraction strategy for each land cover class on multidate ASTER data. To enable an effective comparison among images, Multivariate Alteration Detection (MAD) transformation was applied in the pre-processing phase, because of its high level of automation and reliability in the enhancement of change information a...
متن کاملEstimating Coastal Lagoon Tidal Flooding and Repletion with Multidate ASTER Thermal Imagery
Coastal lagoons mix inflowing freshwater and tidal marine waters in complex spatial patterns. This project sought to detect and measure temperature and spatial variability of flood tides for a constricted coastal lagoon using multitemporal remote sensing. Advanced Spaceborne Thermal Emission Radiometer (ASTER) thermal infrared data provided estimates of surface temperature for delineation of re...
متن کاملClass-Guided Building Extraction from Ikonos Imagery*
DEM (digital elevation model) is available. A study on the use Abstract of stereo Ikonos imagery shows that 5to 10-m contour lines can Recent high-resolution satellite images provide a valuable new be derived with the highest topographic standard (Toutin et al., data source for geospatial information acquisition. This paper 2001). As for geospatial feature extraction for topographic mapaddresse...
متن کاملAutomated Extraction of Geospatial Features from Satellite Imagery: Computer Vision Oriented Plane Surveying
The paper explores and assesses the potential uses of high resolution satellite imagery and digital image processing algorithms for the auto detection and extraction of geospatial features, farmlands, for the purpose of statutory plane surveying tasks. The satellite imagery was georectified to provide the planar surface necessary for morphometric assessments followed by integrated image process...
متن کاملRemote Sensing and Land Use Extraction for Kernel Functions Analysis by Support Vector Machines with ASTER Multispectral Imagery
Land use is being considered as an element in determining land change studies, environmental planning and natural resource applications. The Earth’s surface Study by remote sensing has many benefits such as, continuous acquisition of data, broad regional coverage, cost effective data, map accurate data, and large archives of historical data. To study land use / cover, remote sensing as an effic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Remote Sensing
سال: 2009
ISSN: 2072-4292
DOI: 10.3390/rs1041171