This paper presents a methodology and results of evaluating damaged building extraction using an object recognition task based on Differential Morphological Profile (DMP) for Very High Resolution (VHR) remotely sensed images. The proposed approach involves several advanced morphological operators among which an adaptive transforms with varying size, shape and gray level of the structuring elements. IKONOS-2 Satellite images consisting of pre and post 2004 Indian Ocean Tsunami site of Kalmunai area in east cost of Sri Lanka were used. Morphological operation of opening and closing by constructions using structural element are applied for segmented images, then derivative of the opening profile is defined as the vector. ISODATA algorithm is u...
This paper illustrates an innovative methodology for post-earthquake collapsed building recognition,...
Information retrieval from high resolution remotely sensed images is a challenging issue due to the ...
Recent improvements in the spatial resolution of commercial satellite imagery make it possible to ap...
This paper presents a methodology and results of evaluating damaged building extraction using an obj...
International audienceThis paper presents a new method for buildings extraction in Very High Resolut...
This paper presents the results of the application of mathematical morphology techniques for a semi-...
The recent experiences in the 2004 Sumatra earthquake and tsunami showed the efficiency of remote se...
In this project, image processing algorithms were designed and developed to perform feature extracti...
In order to evaluate emergency response and rehabilitation planning after a disaster, it is importan...
In order to develop a methodology to evaluate damage distribution for appropriate emergency manageme...
Abstract: A new object-based extraction approach based on area morphology is developed and tested on...
The agricultural fields along the coast were submerged under the sea water after the 2011 off the Pa...
Abstract — This paper presents a new method for buildings extraction in Very High Resolution (VHR) r...
The experiences from recent disaster events showed that detailed information derived from high-resol...
A new morphological attribute building index (MABI) and shadow index (MASI) are proposed here for au...
This paper illustrates an innovative methodology for post-earthquake collapsed building recognition,...
Information retrieval from high resolution remotely sensed images is a challenging issue due to the ...
Recent improvements in the spatial resolution of commercial satellite imagery make it possible to ap...
This paper presents a methodology and results of evaluating damaged building extraction using an obj...
International audienceThis paper presents a new method for buildings extraction in Very High Resolut...
This paper presents the results of the application of mathematical morphology techniques for a semi-...
The recent experiences in the 2004 Sumatra earthquake and tsunami showed the efficiency of remote se...
In this project, image processing algorithms were designed and developed to perform feature extracti...
In order to evaluate emergency response and rehabilitation planning after a disaster, it is importan...
In order to develop a methodology to evaluate damage distribution for appropriate emergency manageme...
Abstract: A new object-based extraction approach based on area morphology is developed and tested on...
The agricultural fields along the coast were submerged under the sea water after the 2011 off the Pa...
Abstract — This paper presents a new method for buildings extraction in Very High Resolution (VHR) r...
The experiences from recent disaster events showed that detailed information derived from high-resol...
A new morphological attribute building index (MABI) and shadow index (MASI) are proposed here for au...
This paper illustrates an innovative methodology for post-earthquake collapsed building recognition,...
Information retrieval from high resolution remotely sensed images is a challenging issue due to the ...
Recent improvements in the spatial resolution of commercial satellite imagery make it possible to ap...