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» Content Based Retrieval for Remotely Sensed Imagery
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SSIAI
2000
IEEE
13 years 9 months ago
Content Based Retrieval for Remotely Sensed Imagery
We present a framework for content based retrieval (CBR) of remotely sensed imagery. The main focus of our research is the segmentation step in CBR. A bank of gabor filters is use...
Badrinarayan Raghunathan, Scott T. Acton
GIS
2007
ACM
14 years 5 months ago
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery
We investigate the application of a new category of low-level image descriptors termed interest points to remote sensed image analysis. In particular, we compare how scale and rot...
Shawn Newsam, Yang Yang
IGARSS
2010
13 years 2 months ago
Monitoring air and Land Surface Temperatures from remotely sensed data for climate-human health applications
This study proposes a methodology to infer maximum air temperature from space using observations from polar orbiting satellite MODIS. A previous study showed that minimum Land Sur...
Pietro Ceccato, Christelle Vancutsem, Marouane Tem...
IGARSS
2009
13 years 2 months ago
Characteristics of Shadow and Removal of its Effects for Remote Sensing Imagery
The effects of shadow in remote sensing imagery are investigated. The measurement of radiance in sunlit and shadowed areas was carried out to investigate the spectral characterist...
Fumio Yamazaki, Wen Liu, Makiko Takasaki
ICIP
2008
IEEE
14 years 6 months ago
Comparing SIFT descriptors and gabor texture features for classification of remote sensed imagery
A richer set of land-cover classes are observable in satellite imagery than ever before due to the increased sub-meter resolution. Individual objects, such as cars and houses, are...
Yi Yang, Shawn Newsam