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This paper deals with an unsupervised approach for land change detection and extraction using bitemporal and multispectral remotely sensed images. It is a statistical approach based on multivariate alteration detection (MAD) transformation combined with a new ChiMerge thresholding method. As opposed to most other multivariate change detection schemes the MAD technique is invariant to affine transformations...
This article presents some issues of correlative signal processing using field programmable gate arrays (FPGA). At first, the noise signal is briefly described. Second, an overview of some existing implementations is made. Preliminary results of own implementation are presented as a third.
Temperature vegetation dryness index (TVDI) is widely used for its physical significance. In this study, using the historical MODIS data, we consider Henan Province, a large grain province in Central China, an example for constructing feature space and calculating TVDI. Multi- and single-group image approaches are then compared, and the applicability of the TVDI in Henan Province is analyzed through...
One important feature of geography phenomenon or spatial object is that there exists the spatial autocorrelation between them. As for a spatial sampling scheme for crop acreage estimation, the spatial autocorrelation of the sampling units has an important effect on the design of the sampling scheme and the improvement of the sampling efficiency. While the related researches on spatial autocorrelation...
Normalized difference vegetation index (NDVI) has been correlated with various vegetation parameters using different preprocessing methods, corrections and sampling time based on the aim of the study. In yield estimation studies, maximum NDVI value of the season and the same day of the year NDVI value, which are based on chronological sampling time, are used within different techniques from statistical...
Taking Xiamen city as the study area, this research retrieved sensible heat flux by using meteorological data and Landsat 5 TM images of the four seasons in 2009. Meanwhile the 65 different landscape metrics of each analysis unit were acquired by landscape analysis method. Then the most effective landscape metrics, which could affect sensible heat flux, were determined by correlation analysis, partial...
Improving the accuracy of satellite-derived precipitation estimates is very important to extend the extent and depth of their application. Existing calibration methods calibrated satellite-derived precipitation estimates based on a strong relationship between gauge measurements and estimated precipitation. However, such a relationship is always disturbed by variation of land surface characteristics,...
We show an application of Moran's Index to process and analyze the waterbody-spread extracted from remotely sensed data. A method that is employed to quantify division-wise waterbody-spread, district-wise waterbody-spread and taluk-wise waterbody-spread spatial complexity is based on Moran's Index computation. The waterbody-spread data for each of the hierarchically partitioned geographical unit-wise...
We show that indications of spatial dispersion effects on mineral oil slicks are observed by space-borne multipolarization synthetic aperture radar. This is readily perceived by eye when correlating multipolarization synthetic aperture radar observables with the ship track of the dispersion vessel. We investigate real full-polarimetric (linear transmit/linear receive) as well as simulated and real...
In this paper we describe the method that has been implemented to derive the forest/non-forest maps from TanDEM-X interferometric synthetic aperture radar (InSAR) data, globally acquired in stripmap single polarization (HH) mode. Among the several observables systematically provided by the TanDEM-X system, the volume decorrelation contribution, derived from the interferometric coherence, shows to...
Poyang Lake is the largest freshwater lake in China and one of the most important wetlands in the world. Vegetation, an important component of wetland ecosystems, is one of the main sources of the carbon in the atmosphere. The backscatter coefficients (HH, HV and VV), the Pope biophysical indices, the polarimetric parameters from Freeman-Durden decomposition, Cloude-Pottier decomposition, TSVM decomposition...
High SSC related to Dongjiakou Harbor construction was observed during June 2010 to August 2013. The adjacent Mytilus edulis aquaculture waters with area of 11.13 km2, 15.48 km2, and 24.27 km2 were affected by the high SSC retrieved from remote sensing SSC on 24 April 2011, 21 September 2011, and 10 January 2013. The aquaculture rope and Mytilus edulis were full of sediment during the in-situ survey...
Wideband autocorrelation radiometry (WiBAR) is a new method to remotely sense the microwave propagation time τdelay of multi-path microwave emission of low loss layered surfaces such as dry snowpack and freshwater lake icepack. The microwave propagation time τdelay through the pack yields a measure of its vertical extent; thus, this technique is a direct measurement of depth. This technique is inherently...
Forest, one of the most important natural resources, has been degraded in both quantity and quality due to the insensive human activities. This research identified the relationship between spatial pattern of forest and socioeconomic drivers in southern New Hampshire. The results indicated that house density was the most important factor in contributing to the forest fragmentation. The area-related...
The Visible Infrared Imaging Radiometer Suite (VIIRS) instrument is a whiskbroom system with 22 spectral bands split between 16 moderate resolution bands (M-bands), five imagery resolution bands (I-bands) and a panchromatic day-night band. Latitude and Longitude geolocation data are generated for each pixel at the M-band, I-band and day-night band spatial resolutions based upon various instrument...
Only using the post-earthquake PolSAR imagery to interpret collapsed buildings information is a rapid and effective disaster investigation means, which is also easy and fast for implementation of the earthquake damage assessment. This work is focused on rapid building earthquake damage information detection in urban areas using a single post-earthquake PolSAR image. In this paper, the Precision Weighted...
Predicting upcoming bands of hyperspectral images is an important task in modern image compression algorithms. This paper proposes a new algorithm to predict the band-wise correlation of hyperspectral images based on a generalized regression neural network (GRNN). The proposed algorithm uses the intensity values of the previous bands to train the GRNN and approximates the correlation between them...
In this study, a web application is presented for detecting locations with content-based similarity on high resolution orthoimagery via histogram matching methods. For this application, a web interface utilizing Bing Maps for determining query image w as constructed via ‘Python Flask Micro Web Framework’. This web interface uses the center location of the Bing Maps extent, and the image closest to...
The concept of remote sensing is to study the properties of Earth's objects by recording its reflection. Development in remote sensing has been consistent in the past few decades ranging from optical to microwave domains. Classification enables us to extract information of the objects existing on the image surface. Selection of suitable classification algorithm is dependent on the environmental conditions...
The classification recognition performance is a hot study in the field of remote sensing image. In this paper, texture feature, shape feature, radiation intensity of remote sensing image information were used to initial terrain classification. Then an improved fuzzy c-means algorithm was applied on classification, and it included optimization of determine clustering center, got the number of clustering...
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