Realistic images of terrain can be created by texture mapping aerial photographs onto elevation data. However, lighting and shadows in the original photographs are a problem when multiple aerial photos are merged, or when the sun direction used for the generated image is different from the original aerial photograph. Our goal is to generate a terrain surface reflectance map from an aerial photograph. This will be used to simulate a new aerial photograph with different lighting and viewing directions. We are concentrating on forest and mountain areas for use in ecosystem management and modeling applications. One key to generating realistic new images is finding shadows cast by the terrain in the original aerial photographs. Digital elevation...
Abstract: Shadows in high resolution imagery create significant problems for urban land cover classi...
This study focuses on the recovery of information from shadowed pixels in RGB or multispectral image...
In aerial images, the performance of the segmentation and object recognition algorithms could suffer...
High-resolution imagery is becoming increasingly available for use in land-cover mapping; however, p...
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts I...
The traditional mapping on digital aerial photos and elevation models has its limits at steep slopes...
Shadows from buildings, terrain, and other elevated features represent lost and/or impaired data val...
Abstract: Shadows exist in almost all aerial and outdoor images, and they can be useful for estimati...
In this paper we present several methods that can greatly improve image quality when using the shado...
This paper addresses the occurrence of self-cast shadows in on-board images of aerial vehicles which...
The shadow-height method has been extensively used to extract the heights of buildings from the shad...
Shadow regions are very present in the high spatial resolution images, particularly in urban environ...
In order to perform image analysis, one must have a thorough understanding of how images are forme...
Shadow removal process includes locating the shadow regions (shadow detection) and eliminating the...
The purpose of this research is to enhance the efficiency of the task of extracting elevation data f...
Abstract: Shadows in high resolution imagery create significant problems for urban land cover classi...
This study focuses on the recovery of information from shadowed pixels in RGB or multispectral image...
In aerial images, the performance of the segmentation and object recognition algorithms could suffer...
High-resolution imagery is becoming increasingly available for use in land-cover mapping; however, p...
This report describes research done at the Artificial Intelligence Laboratory of the Massachusetts I...
The traditional mapping on digital aerial photos and elevation models has its limits at steep slopes...
Shadows from buildings, terrain, and other elevated features represent lost and/or impaired data val...
Abstract: Shadows exist in almost all aerial and outdoor images, and they can be useful for estimati...
In this paper we present several methods that can greatly improve image quality when using the shado...
This paper addresses the occurrence of self-cast shadows in on-board images of aerial vehicles which...
The shadow-height method has been extensively used to extract the heights of buildings from the shad...
Shadow regions are very present in the high spatial resolution images, particularly in urban environ...
In order to perform image analysis, one must have a thorough understanding of how images are forme...
Shadow removal process includes locating the shadow regions (shadow detection) and eliminating the...
The purpose of this research is to enhance the efficiency of the task of extracting elevation data f...
Abstract: Shadows in high resolution imagery create significant problems for urban land cover classi...
This study focuses on the recovery of information from shadowed pixels in RGB or multispectral image...
In aerial images, the performance of the segmentation and object recognition algorithms could suffer...