Impervious surface area (ISA) is an important parameter for many studies such as urban climate, urban environmental change, and air pollution; however, mapping ISA at the regional or global scale is still challenging due to the complexity of impervious surface features. The Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) data have been used for ISA mapping, but...

Mapping Impervious Surface Area (ISA) at regional and global scales has attracted increasing interest. DMSP-OLS nighttime light (NTL) data have proven to be successful for mapping urban land in large areas. However, the well-documented issues of pixel blooming and saturation limit the ability of DMSP-OLS data to provide accurate urban information. In this paper, a multi-source composition index...

There are pressing concerns about the interplay between agricultural productivity, water demand, and water availability in semi-arid to arid regions of the world. Currently, irrigated agriculture is the dominant water user in these regions and is estimated to consume approximately 80% of the world’s diverted freshwater resources. We develop an improved irrigated land-use mapping algorithm that ...

This paper proposes a novel stratified selfcalibration method of camera based on rotation movement. The proposed method firstly captures more than three images of the same scene in the case of constant internal parameters by panning and rotating the camera with small relative rotation angles among the captured images. After feature extraction and matching of captured images, the pixel coordinat...

There are pressing concerns about the interplay between agricultural productivity, water demand, and water availability in semi-arid to arid regions of the world. Currently, irrigated agriculture is the dominant water user in these regions and is estimated to consume approximately 80% of the world’s diverted freshwater resources. We develop an improved irrigated land-use mapping algorithm that ...

-This paper investigates several classifiers for labeling internal features of hardwood logs using computed tomography (CT) images. A primary motivation is to locate and classify internal defects s o that an optimal cutting strategy can be chosen. Previous work has relied on combinations of low-level processing, image segmentation, autoregressive texture modeling, and knowledge-based analysis. ...

Results from any existing clustering algorithm that are used for segmentation are highly sensitive to features that limit their generalization. Shape is one important attribute of an object. The detection and separation of an object using fuzzy ring-shaped clustering (FKR) and elliptic ring-shaped clustering (FKE) already exists in the literature. Not all real objects however, are ring or ellip...

In this paper we present a system for the recognition of handwritten words on literal cheque amounts which advantageously combine hmms and Markov random elds mrfs It operates at pixel level in a holistic manner on height normalized word images which are viewed as random eld realizations The hmm analyzes the image along the horizontal writing direction in a speci c state observation probabil ity...

In recent years, there has been an interest in automating the process of producing maps of the motion of ice floes from SAR images acquired a few days apart. A common approach is to correlate raw pixel values in order to find corresponding features in two images. The problem with this approach is that the search space is often prohibitive when ice floes rotate, as they frequently do. We present...

In this paper we present a system for the recognition of handwritten words on literal cheque amounts which advantageously combine hmms and Markov random elds (mrfs). It operates at pixel level, in a holistic manner, on height normalized word images which are viewed as random eld realizations. The hmm analyzes the image along the horizontal writing direction, in a speciic state observation proba...