Image analysis requires a segmentation step to distinguish the significant components of the image, i.e., the foreground from the background. As a step prior to image classification the quality of the segmentation is of significant importance. Highresolution satellite image classification using standard per-pixel approaches is difficult because of the high volume of data, as well as high spatia...

Unmanned aerial vehicles (UAVs or drones) are a very promising branch of technology, and they have been utilized in agriculture-in cooperation with image processing technologies-for phenotyping and vigor diagnosis. One of the problems in the utilization of UAVs for agricultural purposes is the limitation in flight time. It is necessary to fly at a high altitude to capture the maximum number of ...

A n e w structural image-texture technique, termed the triangulated primitive neighborhood method (TPN), is employed to investigate the variable spatial characteristics of high-resolution forest objects, as modeled by a Compact Airborne Spectrographic Imager data set. Based on current psychophysical texture theory, this technique incorporates location-specific primitives and a variablesized and...

Remote sensing is a promising technology that finds as diverse applications as defence, urbanplanning, healthcare, and environmental management. Collecting countrywide statistics of cropyield is one of the main tasks of remote sensing. Acquiring and processing very high-resolution(VHR) satellite images are means accomplishing this task. Processing these remotely sensed(RS) image...

3D reconstruction pipelines using structure-from-motion and multi-view stereo techniques are today able to reconstruct impressive, large-scale geometry models from images but do not yield textured results. Current texture creation methods are unable to handle the complexity and scale of these models. We therefore present the first comprehensive texturing framework for large-scale, real-world 3D...

Reconstruction of scene geometry and semantics are important problems in vision, and increasingly brought together. The state of the art in Structure from Motion and Multi View Stereo (SfM+MVS) can already create accurate, dense reconstructions of scenes. Systems such as CMPMVS [2] are freely available and produce impressive results automatically. However, when assumptions break down or there i...

The satellite images at different spectral and spatial resolutions with the aid of image processing techniques can improve the quality of information. Especially image fusion is very helpful to extract the spatial information from two images of different resolution images of same area. An operation of image analysis such as image classification on fused images provides better results in compari...