This paper deals with the classification of tree species composition from Ikonos imagery (4m resolution) based on the object-oriented image analysis in eCogniton software. The image was acquired over a man-planted forest area with proportion of various forest types (conifers, broadleaved, mixed) in the Krušné Hory Mts., Czech Republic. In order to enlarge class feature space, additional channel...

This paper reports the preliminary results of a project on using IKONOS imagery to estimate the size and spatial distribution of urban residential population. Three questions were addressed. Firstly, the utility of a textural classifier based on Gray Level Cooccurance Matrix (GLCM) to interpret IKONOS imagery was examined. It is found that although texture is useful, other types of information,...

When performing post-classification comparison using images of different sensors, change detection is still possible even if images have different resolutions. However, in this case, change pixels are detected in the pixel size of coarser resolution image. This problem can be solved using higher resolution aerial photographs or panchromatic images if available. In multi sensor image fusion, ima...

Advances in remote sensing technologies demonstrated the capability to acquire high quality metric information from satellite images. The IKONOS satellite image, for example, has a pixel size of one meter. The sensor model parameters are not yet released. This motivate the use of empirical transformation models to represent the relationship between image space coordinates and object space coord...

Western Alaska’s Yukon-Kuskokwim Delta (YKD) spans nearly 67,200 km2 and is among the largest and most productive coastal wetland ecosystems in the pan-Arctic. Permafrost currently forms extensive elevated plateaus on abandoned floodplain deposits of the outer delta, but is vulnerable to disturbance from rising air temperatures, inland storm surges, and salt-kill of vegetation. As pan-Arctic ai...

Recently, it has become much easier to obtain commercial high-resolution satellite imagery (HRSI), and application of IKONOS satellite imagery to 3D positioning has recently been investigated, with sub-meter accuracy being achieved. Image matching is one of the most fundamental processes in geopositioning from multi-image HRSI. Least squares matching and cross correlation matching are the most ...

This study employed a hybrid system for the combination of pixel-based (PB) and object-oriented (OO) Support Vector Machines (SVMs) based on Bayesian Probability Theory (BPT) for improved land cover classification. A set of uncorrelated feature attributes have been generated from a one-meter IKONOS satellite image. Four different SVMs kernels were compared and tested to classify buildings, tree...

DLR's Remote Sensing Technology Institute has a long lasting experience in developing spaceborne stereo scanners (MEOSS, MOMS) and the corresponding photogrammetric software systems for stereo evaluation and orthorectification [1][2][3][4]. It takes part in the ESA/JAXA-AO Program to evaluate the performance and potential of the three-line stereo scanner PRISM and the multispectral imaging sens...

Stereoscopic analysis of target images is the primary and conventional method for photogrammetric 3D range data construction. For object detection in high resolution satellite images, it is advantageous if the processing method can exploit a stereo derived DEM so that the technique can be applied anywhere in the world. Central to this is the need for a very reliable stereo matching algorithm an...

The modern remote sensing imaging sensors, like those in the IKONOS and QuickBird satellites, are capable of generating panchromatic images with about one meter spatial resolution. The principal objective of fusion in remote sensing is to obtain images that can combine the spectral characteristic of the lowresolution multispectral images with the spatial information of the high-resolution panch...