This article discusses the implementation of three transforms, namely Contourlet, Curvelet and Ridgelet, which are intended for image edge enhancement. These transforms were applied to fused Worldview 2 satellite images. The fusion was performed over the WorldView 2 satellite images applying various types of wavelet transforms, such as Daubechies, Bior, rbior, Coiflet and Symlet 5, with different levels of decomposition. The best results were obtained for the case of Symlet 5, level 5. Wavelet fused images and the generated images (using Contourlet, Curvelet and transformed Ridgelet) were evaluated and analyzed quantitatively. Quantitative methods in the present analysis include ERGAS, RASE, Universal Quality (Qu) and correlation coefficient (CC). Image merging and the implementation of transforms were performed with MatLab®, which supplies the following tools: Wavelet toolbox, Image processing toolbox, Contourlet toolbox, and Curvelet and Ridgelet source code. The results show that the Curvelet and Ridgelet transforms yield better results in terms of edge enhancement for both the merged image and the original image. RESUMEN:Este artículo se discute la aplicación de tres transformadas, a saber, Contourlet, Curvelet y Ridgelet, que están destinadas a la mejora de bordes en una imagen, las cuales se aplicaron a las imágenes de satélite Worldview 2 fusionadas. La fusión se realizó sobre las imágenes de satélite WorldView 2 mediante la aplicación de varias transformada wavelet, entre ellas, Daubechies, Bior, rbior, Coiflet y Symlet 5 con diferentes niveles de descomposición. Los mejores resultados se obtuvieron con la transformada Symlet 5 en el nivel de descomposición cinco. Las imágenes fusionadas con la transformada wavelet (symlet 5) y las imágenes generadas (usando las transformadas Contourlet, Curvelet y Ridgelet) se evaluaron y analizaron cuantitativamente. Los métodos cuantitativos en el presente análisis incluyen ERGAS, RASE, Calidad Universal (Qu) y coeficiente de correlación (CC). La fusión de imágenes y la implementación de las transformadas se realizaron con el software MatLab®, que proporciona los siguientes Toolbox: Toolbox de Wavelet, Toolbox de procesamiento de imágenes, Toolbox Contourlet y código fuente para Curvelet y Ridgelet. Las transformadas Curvelet y Ridgelet producen mejores resultados en términos de mejora de bordes tanto para la imagen fusionada como para la imagen original.

The distribution range of Jaguar (Panthera onca) is being reduced due to multi-scale habitat conversion, intensive hunting, illegal trafficking, habitat fragmentation, and the construction of highways and other infrastructure. Because of the decrease in population, this species’ listing has changed from vulnerable to a threatened category. Due to the ecological importance of this species, organizations like Red Colombiana de Seguimiento de Fauna Atropellada have proposed the establishment of wildlife corridors. But little is known as to recognize the driving forces in these habitat changes and where these corridors should be established. To address this lack of information, we determined the spatial extent to which the current distribution and access to P. onca habitat is being driven by deforestation, armed conflict, agriculture expansion, urbanization and the construction of highways in the Bajo Magdalena area of Colombia. We then identified potential areas for proposing conservation corridors. To do this, we used available geospatial information on P. onca distribution in the Corporación Autónoma Regional areas in the municipalities of Puerto Salgar, Caparrapí and Guaduas, as well as transportation network, administrative unit, and deforestation data from 2010 to 2018. We also calculated habitat distances to population centers and the distribution of P. onca relative to roads. Our findings suggest that urban population and highways affect 83 % of the total area of its distribution; deforestation increased by 47.9 km2 in the 105.24 km2 study area with 5.6 km2 alone left as P. onca habitat. We concluded that conservation initiatives must be implemented inside P. onca’s distributional range and buffer zones. Urbanization and the construction of highways were highly influential variables associated with the loss of P. onca habitat. Further, we propose that precautions along the principal road that connects Puerto Salgar and Guaduas should be taken into consideration to maintain the genetic flow and movement of the P. onca population as it affects 87 km of this proposed corridor.