This article proposes an efficient and high-fidelity panchromatic (PAN) spectral decomposition method based on smoothing filtering for multispectral (MS) hyperspectral (HS) image pansharpening. The proposed assumes that the high-frequency spatial details at same scale are different images captured by satellite time. When PAN is prefiltered down-sampled to MS scale, it will have detail as image,...

For the years 1997 to 2000 it is expected that a number of new satellites will be launched into orbit by private companies which are speciied to deliver panchromatic imagery of the earth surface with a spatial resolution as ne as 1 m. In contrast to the panchromatic band, the spectrally resolved bands will have a four times coarser ground resolution. Therefore, image fusion algorithms will cert...

Image classification can benefit from incorporating texture by enabling an increased number of classes and improving thematic accuracy. Incorporating texture also involves special attention in a number of aspects that range from the texture source to the evaluation of accuracy through pre-processing, training strategy and choosing a texture extraction paradigm and a classifier. Without special ...

The panchromatic bands of Landsat 7, SPOT, and IRS satellite imagery provide an opportunity to evaluate the effectiveness of texture analysis of satellite imagery for mapping of land uselcover, especially forest cover. A variety of texture algorithms, including standard deviation, Ryherd-Woodcock minimum variance adaptive window, low pass etc., were applied to moving 3x3 and 7x7 pixel windows. ...

Automatic extraction of objects from aerial or satellite images have made significant progress in recent years. This paper presents an experimental model based on fuzzy logic system for identification of roads in SPOT sensor panchromatic images in Iran. Also the proposed model can be used for images such IKONOS. The method consists of three steps: feature extraction, fuzzy modeling, and mathema...

Panchromatic (PAN) images contain abundant spatial information that is useful for earth observation, but always suffer from low-resolution ( LR) due to the sensor limitation and large-scale view field. The current super-resolution (SR) methods based on traditional attention mechanism have shown remarkable advantages remain imperfect reconstruct edge details of SR images. To address this problem...

The use of high resolution IKONOS imagery should make it possible to extract urban features like buildings and roads more easily than conventional satellite image data. This work examines the synergetic ability of using spectral information from multispectral data in combination with spatial information from panchromatic data in urban land cover mapping using IKONOS Imagery. In this work we tri...

Aim of study: The ambrosia beetle, Platypus quercivorus, is a vector of Japanese oak wilt, which causes massive mortality of oak trees in Japan. ALOS/AVNIR-2 true color images can be used to help detect areas of oak wilt, although such detection by inventory surveys is not realistic. Applying pan-sharpening techniques, a higher spatial resolution multispectral image can be generated from lower-...

In this article, we present the use of the Automatic Ground control points Extraction technique (AGE) for increasing the automation in the geometric correction of high-resolution satellite imagery. The method is based on an image-to-image matching between the satellite data and an already geocoded image (i.e., a digital orthophoto). By using an adaptive least squares matching algorithm which im...

To obtain an accurate count of wheat spikes, which is crucial for estimating yield, this paper proposes a new algorithm that uses computer vision to achieve this goal from an image. First, a home-built semi-autonomous multi-sensor field-based phenotype platform (FPP) is used to obtain orthographic images of wheat plots at the filling stage. The data acquisition system of the FPP provides high-d...