Determining the productivity of forest sites through various classification techniques is important for making appropriate forest management decisions. Forest sites were classified using direct and indirect (site index) and remote sensing (Landsat 7 ETM and Quickbird satellite image) methods. In the direct method, forest site classifications were assigned according to edafic (soil properties), ...

This paper clarifies the concepts and relationship between image fusion rules and operators based on wavelet transform. According to wavelet decomposition characteristic, a new strategy of calculating spatial frequency is put forward. Fusion experiments are performed on QuickBird panchromatic (PAN)and multispectral (MS) images based on orthogonal and biorthogonal wavelet, in which a method of c...

Using snakes to extract buildings from satellite imagery such as IKONOS and Quickbird is an active activity in remote sensing society. Building extraction from satellite imagery has more than 20 years of history but the automated extractions are still undergoing developmental stages due to increasing image variation, required level of details and higher resolution imagery are acquired. This pap...

This article presents a new approach for image segmentation applied to urban imagery. Re-segmentation is so called because it uses a previous over-segmented image as input to generate a new set of objects more adequate to the application of interest. Concerning urban objects such as roofs, building and roads, the algorithm tries to generate rectangular objects by merging operations in a weighte...

An improved high resolution object-based building extraction method based on Pixel Rectangle Index is presented in this paper. We use Minimum Span Tree optimal theory to realize object-based high resolution image segmentation. First, we proposed a rotation invariant Pixel Rectangle Index by introducing the principal direction of homogeneous area. Second, we improved the calculation of edge-weig...

The geometric visualisation of the buildings as the 3D solid structures can provide a comprehensive vision in terms of the assessment and simulation of solar exposed surfaces, which includes rooftops and facades. However, the main issue in the simulation a genuine data source that presents the real characteristics of buildings. This research aims to extract the 3D model as the solid boxes of ur...

Classification techniques are routinely utilized on satellite images. Pansharpening techniques can be used to provide super resolved multispectral images that can improve the performance of classification methods. So far, these pansharpening methods have been explored only as a preprocessing step. In this work we address the problem of adaptively modifying the pansharpening method in order to i...

This article presents a new approach for image segmentation applied to urban imagery. The proposed method is called re-segmentation because it uses a previous over-segmented image as input to generate a new set of objects more adequate to the application of interest. For urban objects such as roofs, building and roads, the algorithm tries to generate rectangular objects by merging and cutting o...

This paper presents a morphological neural network approach to extract vehicle targets from high resolution panchromatic satellite imagery. In the approach, the morphological shared-weight neural network (MSNN) is used to classify image pixels on roads into vehicle targets and non-vehicle targets, and a morphology based preprocessing algorithm is developed to identify candidate vehicle pixels. ...

Pansharpening refers to the use of a panchromatic image improve spatial resolution multi-spectral while preserving spectral signatures. However, existing pansharpening methods are still unsatisfactory at balancing trade-off between enhancement and fidelity. In this paper, multi-scale multi-stream fusion network (named MMFN) that leverages information source images is proposed. The proposed arch...