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This research aims at evaluating the potential of multi-temporal images acquired in April-June period for crop mapping before harvest in Kashgar China. Firstly, images of both Landsat-5 TM and Huan Jing (HJ)-1 CCD data were used to acquire an image time series with 30 m spatial resolution and 15 day temporal resolution during the entire growing season. Subsequently, period-by-period separability of...
Spatial and Temporal Fusion of Remote Sensing Data is a technology that can generate dense time series high spatial data whose spatial resolution is similar with high spatial resolution date, and temporal resolution is same with high temporal resolution data. Using Hai'an County of Jiangsu Province as the experimental area, we tested the ability of different wavelet functions and fusion methods in...
An adaptive threshold discriminating Algorithm for remote sensing image corner detection was discussed in this paper. Firstly, this paper proposed a novel corner detection method, which discriminated the direction of corner by analyzing eight neighborhood direction gray gradients, then adopted the neighborhood gray gradient tracking method and two thresholds of gray gradient was adopted to detect...
There are two popular decision tree calculations in the international world - CART and C4.5, and boosting and bagging technology, which are new classification technology in mechanical study field. To study the decision tree and new technologypsilas use in remote sensing classification, we use 250 m resolution data of northeast China to do land cover and classification study. The result shows that...
GPS data of August in 2004 obtained from 4 sites in Hong Kong GPS/MET network has been used to inverse the precipitable water vapor. The inversed GPS integrated water vapor has 1.44 mm RMSE and 0.97 mm BIAS compared with that from radiosonde data in Hong Kong Observatory, which shows good agreement between them. In this paper, we analyze the temporal and spatial change of Hong Kong summer water vapor...
An automatic relative radiometric normalization algorithm of multi-temporal remote sensing images based on pseudo-invariant neighborhood was introduced in this paper. The main purpose of this research was to develop a robust algorithm of relative radiometric normalization to minimize imaging differences of multi-temporal satellite images. The main idea was to construct statistical regression model...
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